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<li class="navelem"><a class="el" href="dir_d44c64559bbebec7f509842c48db8b23.html">include</a></li><li class="navelem"><a class="el" href="dir_3a90233651aeb6de4309a51b31e57ac6.html">omp</a></li>  </ul>
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<div class="title">parallel_execution_omp.h</div>  </div>
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<a href="parallel__execution__omp_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="preprocessor">#ifndef GRPPI_OMP_PARALLEL_EXECUTION_OMP_H</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="preprocessor">#define GRPPI_OMP_PARALLEL_EXECUTION_OMP_H</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifdef GRPPI_OMP</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &quot;../common/mpmc_queue.h&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;../common/iterator.h&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;../common/execution_traits.h&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;../seq/sequential_execution.h&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &lt;type_traits&gt;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &lt;tuple&gt;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#include &lt;experimental/optional&gt;</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#include &lt;omp.h&gt;</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacegrppi.html">grppi</a> {</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html">   45</a></span>&#160;<span class="keyword">class </span><a class="code" href="classgrppi_1_1parallel__execution__omp.html">parallel_execution_omp</a> {</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#a5ea9694da13f8fd5110bd204cf5710a8">   56</a></span>&#160;  <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a5ea9694da13f8fd5110bd204cf5710a8">parallel_execution_omp</a>() noexcept :</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;      <a class="code" href="classgrppi_1_1parallel__execution__omp.html">parallel_execution_omp</a>{impl_concurrency_degree()}</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;  {}</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#a7390b569784462e5b8dbaf9d285d1dfd">   72</a></span>&#160;  <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7390b569784462e5b8dbaf9d285d1dfd">parallel_execution_omp</a>(<span class="keywordtype">int</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#ac46ceef1db7f46cc7c93a2e1f4a43f08">concurrency_degree</a>, <span class="keywordtype">bool</span> order = <span class="keyword">true</span>) noexcept :</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;      concurrency_degree_{concurrency_degree},</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;      ordering_{order}</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;  {</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    omp_set_num_threads(concurrency_degree_);</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;  }</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#a6ecc058267416424d85f5d97a50993f9">   82</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a6ecc058267416424d85f5d97a50993f9">set_concurrency_degree</a>(<span class="keywordtype">int</span> degree) noexcept { </div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    concurrency_degree_ = degree; </div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    omp_set_num_threads(concurrency_degree_);</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;  }</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;</div><div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#ac46ceef1db7f46cc7c93a2e1f4a43f08">   90</a></span>&#160;  <span class="keywordtype">int</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#ac46ceef1db7f46cc7c93a2e1f4a43f08">concurrency_degree</a>() const noexcept { </div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    <span class="keywordflow">return</span> concurrency_degree_; </div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;  }</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#a858b1ade4e83c03af95148622791719c">   97</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a858b1ade4e83c03af95148622791719c">enable_ordering</a>() noexcept { ordering_=<span class="keyword">true</span>; }</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#a162dd5ad2f43ee408c429e0bfd57ba8c">  102</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a162dd5ad2f43ee408c429e0bfd57ba8c">disable_ordering</a>() noexcept { ordering_=<span class="keyword">false</span>; }</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;</div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#a56aa718f05d304ab46d1262f374fa934">  107</a></span>&#160;  <span class="keywordtype">bool</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a56aa718f05d304ab46d1262f374fa934">is_ordered</a>() const noexcept { <span class="keywordflow">return</span> ordering_; }</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#a1985bff1de82cf901697e234dd4a1972">  112</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a1985bff1de82cf901697e234dd4a1972">set_queue_attributes</a>(<span class="keywordtype">int</span> size, <a class="code" href="namespacegrppi.html#aa0514650a765d4853343655e7588662b">queue_mode</a> mode) noexcept {</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    queue_size_ = size;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    queue_mode_ = mode;</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;  }</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#a37f6a3c52b01c8086cf7406daeb11a01">  124</a></span>&#160;  <a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a37f6a3c52b01c8086cf7406daeb11a01">make_queue</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    <span class="keywordflow">return</span> {queue_size_, queue_mode_};</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;  }</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> ... Transformers&gt;</div><div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#ab2c33a5524390b20114c46c2801bfa06">  137</a></span>&#160;  <a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a>&amp; <a class="code" href="classgrppi_1_1parallel__execution__omp.html#ab2c33a5524390b20114c46c2801bfa06">get_output_queue</a>(<a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a> &amp; queue, Transformers &amp;&amp;...)<span class="keyword"> const </span>{</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    <span class="keywordflow">return</span> queue;</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;  }</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> ... Transformers&gt;</div><div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#abb9bc2c1ea905ca19f6b025e17fc8943">  149</a></span>&#160;  <a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#abb9bc2c1ea905ca19f6b025e17fc8943">get_output_queue</a>(Transformers &amp;&amp;... )<span class="keyword"> const</span>{</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    <span class="keywordflow">return</span> std::move(make_queue&lt;T&gt;());</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;  }</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;</div><div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#a7213bf74afdb228323b3c368d50bb4fd">  156</a></span>&#160;  <span class="keywordtype">int</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7213bf74afdb228323b3c368d50bb4fd">get_thread_id</a>() const noexcept {</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    <span class="keywordtype">int</span> result;</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;<span class="preprocessor">    #pragma omp parallel</span></div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    {</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;      result = omp_get_thread_num();</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    }</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;  }</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> ... InputIterators, <span class="keyword">typename</span> OutputIterator, </div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;            <span class="keyword">typename</span> Transformer&gt;</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#acf76cfdab738202cba7d568662f597a0">map</a>(std::tuple&lt;InputIterators...&gt; firsts,</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;      OutputIterator first_out, </div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;      std::size_t sequence_size, Transformer transform_op) <span class="keyword">const</span>;</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> InputIterator, <span class="keyword">typename</span> Identity, <span class="keyword">typename</span> Combiner&gt;</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;  <span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a303ca62fb4c61ea2c41cbacf1fddc0a8">reduce</a>(InputIterator first, std::size_t sequence_size, </div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;              Identity &amp;&amp; identity, Combiner &amp;&amp; combine_op) <span class="keyword">const</span>;</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> ... InputIterators, <span class="keyword">typename</span> Identity, </div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;            <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Combiner&gt;</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;  <span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a252f36bcbd533fe0e1568711e47a2a4d">map_reduce</a>(std::tuple&lt;InputIterators...&gt; firsts, </div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;                  std::size_t sequence_size,</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;                  Identity &amp;&amp; identity,</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;                  Transformer &amp;&amp; transform_op, Combiner &amp;&amp; combine_op) <span class="keyword">const</span>;</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> ... InputIterators, <span class="keyword">typename</span> OutputIterator,</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;            <span class="keyword">typename</span> StencilTransformer, <span class="keyword">typename</span> Neighbourhood&gt;</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#afdf64586e1ec6dbff9787d67ca600f4e">stencil</a>(std::tuple&lt;InputIterators...&gt; firsts, OutputIterator first_out,</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;               std::size_t sequence_size,</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;               StencilTransformer &amp;&amp; transform_op,</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;               Neighbourhood &amp;&amp; neighbour_op) <span class="keyword">const</span>;</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;  [[deprecated(<span class="stringliteral">&quot;Use new interface with predicate argument&quot;</span>)]]</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;  <span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">divide_conquer</a>(Input &amp;&amp; input, </div><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;                      Divider &amp;&amp; divide_op, </div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;                      Solver &amp;&amp; solve_op, </div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;                      Combiner &amp;&amp; combine_op) <span class="keyword">const</span>; </div><div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;</div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er, <span class="keyword">typename</span> Predicate, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div><div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;  <span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">divide_conquer</a>(Input &amp;&amp; input,</div><div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;                      Divider &amp;&amp; divide_op,</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;                      Predicate &amp;&amp; predicate_op,</div><div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;                      Solver &amp;&amp; solve_op,</div><div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;                      Combiner &amp;&amp; combine_op) <span class="keyword">const</span>;</div><div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;</div><div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;</div><div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Generator, <span class="keyword">typename</span> ... Transformers&gt;</div><div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a6a2bacd11b04b35825a1cb1360077b6c">pipeline</a>(Generator &amp;&amp; generate_op, </div><div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;                Transformers &amp;&amp; ... transform_op) <span class="keyword">const</span>;</div><div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;  </div><div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> InputType, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> OutputType&gt;</div><div class="line"><a name="l00308"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#a9cd143a37f54ca39e2d06d8f0fa8d1e3">  308</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a9cd143a37f54ca39e2d06d8f0fa8d1e3">pipeline</a>(<a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;InputType&gt;</a> &amp; input_queue, Transformer &amp;&amp; transform_op,</div><div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;                <a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;OutputType&gt;</a> &amp;output_queue)<span class="keyword"> const</span></div><div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;<span class="keyword">  </span>{</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;    do_pipeline(input_queue, std::forward&lt;Transformer&gt;(transform_op), output_queue);</div><div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;  }</div><div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;</div><div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;</div><div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div><div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;  <span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">divide_conquer</a>(Input &amp;&amp; input, </div><div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;                      Divider &amp;&amp; divide_op, </div><div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;                      Solver &amp;&amp; solve_op, </div><div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;                      Combiner &amp;&amp; combine_op,</div><div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;                      std::atomic&lt;int&gt; &amp; num_threads) <span class="keyword">const</span>; </div><div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;</div><div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er, <span class="keyword">typename</span> Predicate, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div><div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;  <span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">divide_conquer</a>(Input &amp;&amp; input,</div><div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;                      Divider &amp;&amp; divide_op,</div><div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;                      Predicate &amp;&amp; predicate_op,</div><div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;                      Solver &amp;&amp; solve_op,</div><div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;                      Combiner &amp;&amp; combine_op,</div><div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;                      std::atomic&lt;int&gt; &amp; num_threads) <span class="keyword">const</span>;</div><div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;</div><div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Consumer,</div><div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;            <a class="code" href="namespacegrppi.html#aefc4ab6149586d62bcb16b97bcefdd0a">requires_no_pattern&lt;Consumer&gt;</a> = 0&gt;</div><div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, Consumer &amp;&amp; consume_op) <span class="keyword">const</span>;</div><div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;</div><div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Inqueue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> output_type,</div><div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;            <a class="code" href="namespacegrppi.html#aefc4ab6149586d62bcb16b97bcefdd0a">requires_no_pattern&lt;Transformer&gt;</a> = 0&gt;</div><div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Inqueue &amp; input_queue, Transformer &amp;&amp; transform_op, </div><div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;      <a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;output_type&gt;</a> &amp; output_queue) <span class="keyword">const</span>;</div><div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;</div><div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> ... Others&gt;</div><div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;  <span class="keywordtype">void</span> do_pipeline(<a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a> &amp; in_q, <a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a> &amp; same_queue, Others &amp;&amp;... ops)<span class="keyword"> const</span></div><div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;<span class="keyword">  </span>{ }</div><div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;   </div><div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;  <span class="keywordtype">void</span> do_pipeline(<a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;T&gt;</a> &amp; in_q)<span class="keyword"> const </span>{}</div><div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;</div><div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;            requires_no_pattern&lt;Transformer&gt; = 0&gt;</div><div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, Transformer &amp;&amp; transform_op,</div><div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;    OtherTransformers &amp;&amp; ... other_ops) <span class="keyword">const</span>;</div><div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;</div><div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Execution, <span class="keyword">typename</span> Transformer,</div><div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>, <span class="keyword">typename</span>&gt; <span class="keyword">class </span>Context,</div><div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;            <a class="code" href="namespacegrppi.html#ad4b58959f8008485515060fe1a37fb21">requires_context&lt;Context&lt;Execution,Transformer&gt;</a>&gt; = 0&gt;</div><div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, Context&lt;Execution,Transformer&gt; &amp;&amp; context_op,</div><div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;       OtherTransformers &amp;&amp;... other_ops) <span class="keyword">const</span>;</div><div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;</div><div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Execution, <span class="keyword">typename</span> Transformer,</div><div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>, <span class="keyword">typename</span>&gt; <span class="keyword">class </span>Context,</div><div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;            requires_context&lt;Context&lt;Execution,Transformer&gt;&gt; = 0&gt;</div><div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, Context&lt;Execution,Transformer&gt; &amp; context_op,</div><div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;       OtherTransformers &amp;&amp;... other_ops)<span class="keyword"> const</span></div><div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;<span class="keyword">  </span>{</div><div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;    do_pipeline(input_queue, std::move(context_op),</div><div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;      std::forward&lt;OtherTransformers&gt;(other_ops)...);</div><div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;  }</div><div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;</div><div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> FarmTransformer,</div><div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Farm,</div><div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;            <a class="code" href="namespacegrppi.html#a43af869a5c133642518967b6284525af">requires_farm&lt;Farm&lt;FarmTransformer&gt;</a>&gt; = 0&gt;</div><div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, </div><div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;                   Farm&lt;FarmTransformer&gt; &amp; farm_obj)<span class="keyword"> const</span></div><div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;<span class="keyword">  </span>{</div><div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;    do_pipeline(input_queue, std::move(farm_obj));</div><div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;  }</div><div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;</div><div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> FarmTransformer,</div><div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Farm,</div><div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;            requires_farm&lt;Farm&lt;FarmTransformer&gt;&gt; = 0&gt;</div><div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, </div><div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;                   Farm&lt;FarmTransformer&gt; &amp;&amp; farm_obj) <span class="keyword">const</span>;</div><div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;</div><div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> FarmTransformer, </div><div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Farm,</div><div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;            requires_farm&lt;Farm&lt;FarmTransformer&gt;&gt; =0&gt;</div><div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, </div><div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;       Farm&lt;FarmTransformer&gt; &amp; farm_obj,</div><div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;       OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div><div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;<span class="keyword">  </span>{</div><div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;    do_pipeline(input_queue, std::move(farm_obj),</div><div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;        std::forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div><div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;  }</div><div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;</div><div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> FarmTransformer, </div><div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Farm,</div><div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;            requires_farm&lt;Farm&lt;FarmTransformer&gt;&gt; =0&gt;</div><div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, </div><div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;       Farm&lt;FarmTransformer&gt; &amp;&amp; farm_obj,</div><div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;       OtherTransformers &amp;&amp; ... other_transform_ops) <span class="keyword">const</span>;</div><div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;</div><div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Predicate,</div><div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Filter,</div><div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;            <a class="code" href="namespacegrppi.html#a14435182a5c6532b429e9e8f09e2da37">requires_filter&lt;Filter&lt;Predicate&gt;</a>&gt; = 0&gt;</div><div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, </div><div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;                   Filter&lt;Predicate&gt; &amp; filter_obj)<span class="keyword"> const</span></div><div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;<span class="keyword">  </span>{</div><div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;    do_pipeline(input_queue, std::move(filter_obj));</div><div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;  }</div><div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;</div><div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Predicate,</div><div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Filter,</div><div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;            requires_filter&lt;Filter&lt;Predicate&gt;&gt; = 0&gt;</div><div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, </div><div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;                   Filter&lt;Predicate&gt; &amp;&amp; filter_obj) <span class="keyword">const</span>;</div><div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;</div><div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Predicate, </div><div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Filter,</div><div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;            requires_filter&lt;Filter&lt;Predicate&gt;&gt; =0&gt;</div><div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, </div><div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;       Filter&lt;Predicate&gt; &amp; filter_obj,</div><div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;       OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div><div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;<span class="keyword">  </span>{</div><div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;    do_pipeline(input_queue, std::move(filter_obj),</div><div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;        std::forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div><div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;  }</div><div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;</div><div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Predicate, </div><div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Filter,</div><div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;            requires_filter&lt;Filter&lt;Predicate&gt;&gt; =0&gt;</div><div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, </div><div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;       Filter&lt;Predicate&gt; &amp;&amp; filter_obj,</div><div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;       OtherTransformers &amp;&amp; ... other_transform_ops) <span class="keyword">const</span>;</div><div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;</div><div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Combiner, <span class="keyword">typename</span> Identity,</div><div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span> C, <span class="keyword">typename</span> I&gt; <span class="keyword">class </span>Reduce,</div><div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;            <a class="code" href="namespacegrppi.html#a4f2ec5252b5fe6ed39a5a3c501b70732">requires_reduce&lt;Reduce&lt;Combiner,Identity&gt;</a>&gt; = 0&gt;</div><div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp;&amp; input_queue, Reduce&lt;Combiner,Identity&gt; &amp; reduce_obj,</div><div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;                   OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div><div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;<span class="keyword">  </span>{</div><div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;    do_pipeline(input_queue, std::move(reduce_obj),</div><div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;        std::forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div><div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;  }</div><div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;</div><div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Combiner, <span class="keyword">typename</span> Identity,</div><div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span> C, <span class="keyword">typename</span> I&gt; <span class="keyword">class </span>Reduce,</div><div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;            requires_reduce&lt;Reduce&lt;Combiner,Identity&gt;&gt; = 0&gt;</div><div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp;&amp; input_queue, Reduce&lt;Combiner,Identity&gt; &amp;&amp; reduce_obj,</div><div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;                   OtherTransformers &amp;&amp; ... other_transform_ops) <span class="keyword">const</span>;</div><div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;</div><div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Predicate,</div><div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> P&gt; <span class="keyword">class </span>Iteration,</div><div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;            <a class="code" href="namespacegrppi.html#a9b2e3d6c560a1b30144d31c6dd7e568e">requires_iteration&lt;Iteration&lt;Transformer,Predicate&gt;</a>&gt; =0,</div><div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;            requires_no_pattern&lt;Transformer&gt; =0&gt;</div><div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, Iteration&lt;Transformer,Predicate&gt; &amp; iteration_obj,</div><div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;                   OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div><div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;<span class="keyword">  </span>{</div><div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;    do_pipeline(input_queue, std::move(iteration_obj),</div><div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;        std::forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div><div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;  }</div><div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;</div><div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Predicate,</div><div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> P&gt; <span class="keyword">class </span>Iteration,</div><div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;            requires_iteration&lt;Iteration&lt;Transformer,Predicate&gt;&gt; =0,</div><div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;            requires_no_pattern&lt;Transformer&gt; =0&gt;</div><div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, Iteration&lt;Transformer,Predicate&gt; &amp;&amp; iteration_obj,</div><div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;                   OtherTransformers &amp;&amp; ... other_transform_ops) <span class="keyword">const</span>;</div><div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;</div><div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Predicate,</div><div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> P&gt; <span class="keyword">class </span>Iteration,</div><div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;            requires_iteration&lt;Iteration&lt;Transformer,Predicate&gt;&gt; =0,</div><div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;            <a class="code" href="namespacegrppi.html#a1c6e71cb617cee8d3216b1710891a349">requires_pipeline&lt;Transformer&gt;</a> =0&gt;</div><div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue, Iteration&lt;Transformer,Predicate&gt; &amp;&amp; iteration_obj,</div><div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;                   OtherTransformers &amp;&amp; ... other_transform_ops) <span class="keyword">const</span>;</div><div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;</div><div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> ... Transformers,</div><div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt; <span class="keyword">class </span>Pipeline,</div><div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;            <a class="code" href="namespacegrppi.html#a1c6e71cb617cee8d3216b1710891a349">requires_pipeline</a>&lt;Pipeline&lt;Transformers...&gt;&gt; = 0&gt;</div><div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue,</div><div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;      Pipeline&lt;Transformers...&gt; &amp; pipeline_obj,</div><div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;      OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div><div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;<span class="keyword">  </span>{</div><div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;    do_pipeline(input_queue, std::move(pipeline_obj),</div><div class="line"><a name="l00496"></a><span class="lineno">  496</span>&#160;        std::forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div><div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;  }</div><div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;</div><div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> ... Transformers,</div><div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;            <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt; <span class="keyword">class </span>Pipeline,</div><div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;            <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;            <a class="code" href="namespacegrppi.html#a1c6e71cb617cee8d3216b1710891a349">requires_pipeline</a>&lt;Pipeline&lt;Transformers...&gt;&gt; = 0&gt;</div><div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;  <span class="keywordtype">void</span> do_pipeline(Queue &amp; input_queue,</div><div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;      Pipeline&lt;Transformers...&gt; &amp;&amp; pipeline_obj,</div><div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;      OtherTransformers &amp;&amp; ... other_transform_ops) <span class="keyword">const</span>;</div><div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;</div><div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> ... Transformers,</div><div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;            std::size_t ... I&gt;</div><div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;  <span class="keywordtype">void</span> do_pipeline_nested(</div><div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160;      Queue &amp; input_queue, </div><div class="line"><a name="l00511"></a><span class="lineno">  511</span>&#160;      std::tuple&lt;Transformers...&gt; &amp;&amp; transform_ops,</div><div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;      std::index_sequence&lt;I...&gt;) <span class="keyword">const</span>;</div><div class="line"><a name="l00513"></a><span class="lineno">  513</span>&#160;</div><div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;</div><div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> impl_concurrency_degree() {</div><div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;    <span class="keywordtype">int</span> result;</div><div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160;<span class="preprocessor">    #pragma omp parallel</span></div><div class="line"><a name="l00526"></a><span class="lineno">  526</span>&#160;    {</div><div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160;      result = omp_get_num_threads();</div><div class="line"><a name="l00528"></a><span class="lineno">  528</span>&#160;    }</div><div class="line"><a name="l00529"></a><span class="lineno">  529</span>&#160;    <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00530"></a><span class="lineno">  530</span>&#160;  }</div><div class="line"><a name="l00531"></a><span class="lineno">  531</span>&#160;</div><div class="line"><a name="l00532"></a><span class="lineno">  532</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00533"></a><span class="lineno">  533</span>&#160;</div><div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160;  <span class="keywordtype">int</span> concurrency_degree_;</div><div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160;</div><div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;  <span class="keywordtype">bool</span> ordering_;</div><div class="line"><a name="l00537"></a><span class="lineno">  537</span>&#160;</div><div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;  constexpr <span class="keyword">static</span> <span class="keywordtype">int</span> default_queue_size = 100;</div><div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;  <span class="keywordtype">int</span> queue_size_ = default_queue_size;</div><div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;</div><div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;  <a class="code" href="namespacegrppi.html#aa0514650a765d4853343655e7588662b">queue_mode</a> queue_mode_ = <a class="code" href="namespacegrppi.html#aa0514650a765d4853343655e7588662ba14343966a1d7dce7526e57cf2206d19d">queue_mode::blocking</a>;</div><div class="line"><a name="l00542"></a><span class="lineno">  542</span>&#160;};</div><div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;</div><div class="line"><a name="l00548"></a><span class="lineno">  548</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> E&gt;</div><div class="line"><a name="l00549"></a><span class="lineno"><a class="line" href="namespacegrppi.html#a684f5603ca6c249c2014e73ef5939ea1">  549</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#a684f5603ca6c249c2014e73ef5939ea1">is_parallel_execution_omp</a>() {</div><div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;  <span class="keywordflow">return</span> std::is_same&lt;E, parallel_execution_omp&gt;::value;</div><div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;}</div><div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;</div><div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00558"></a><span class="lineno"><a class="line" href="namespacegrppi.html#a3f58c4870491adbdbe7c3fca83981f2a">  558</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#a3f58c4870491adbdbe7c3fca83981f2a">is_supported&lt;parallel_execution_omp&gt;</a>() { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div><div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;</div><div class="line"><a name="l00564"></a><span class="lineno">  564</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00565"></a><span class="lineno"><a class="line" href="namespacegrppi.html#ac7140c4f9145857677bbb9d69d4ee996">  565</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#ac7140c4f9145857677bbb9d69d4ee996">supports_map&lt;parallel_execution_omp&gt;</a>() { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div><div class="line"><a name="l00566"></a><span class="lineno">  566</span>&#160;</div><div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00572"></a><span class="lineno"><a class="line" href="namespacegrppi.html#ab14686b24bda97340325424c0808f8e5">  572</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#ab14686b24bda97340325424c0808f8e5">supports_reduce&lt;parallel_execution_omp&gt;</a>() { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div><div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160;</div><div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00579"></a><span class="lineno"><a class="line" href="namespacegrppi.html#aedf558dcb7098c68eb91a24ff8724303">  579</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#aedf558dcb7098c68eb91a24ff8724303">supports_map_reduce&lt;parallel_execution_omp&gt;</a>() { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div><div class="line"><a name="l00580"></a><span class="lineno">  580</span>&#160;</div><div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00586"></a><span class="lineno"><a class="line" href="namespacegrppi.html#a5ee9bff9a2abf2d4212368695aa90513">  586</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#a5ee9bff9a2abf2d4212368695aa90513">supports_stencil&lt;parallel_execution_omp&gt;</a>() { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div><div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;</div><div class="line"><a name="l00592"></a><span class="lineno">  592</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00593"></a><span class="lineno"><a class="line" href="namespacegrppi.html#acab52f9fd1dc880a72d484e0b1d25fc0">  593</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#acab52f9fd1dc880a72d484e0b1d25fc0">supports_divide_conquer&lt;parallel_execution_omp&gt;</a>() { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div><div class="line"><a name="l00594"></a><span class="lineno">  594</span>&#160;</div><div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00600"></a><span class="lineno"><a class="line" href="namespacegrppi.html#a2527c1d272fe48e7c19fbd7b7509caea">  600</a></span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#a2527c1d272fe48e7c19fbd7b7509caea">supports_pipeline&lt;parallel_execution_omp&gt;</a>() { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div><div class="line"><a name="l00601"></a><span class="lineno">  601</span>&#160;</div><div class="line"><a name="l00602"></a><span class="lineno">  602</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> ... InputIterators, <span class="keyword">typename</span> OutputIterator, </div><div class="line"><a name="l00603"></a><span class="lineno">  603</span>&#160;          <span class="keyword">typename</span> Transformer&gt;</div><div class="line"><a name="l00604"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#acf76cfdab738202cba7d568662f597a0">  604</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#acf76cfdab738202cba7d568662f597a0">parallel_execution_omp::map</a>(</div><div class="line"><a name="l00605"></a><span class="lineno">  605</span>&#160;    std::tuple&lt;InputIterators...&gt; firsts,</div><div class="line"><a name="l00606"></a><span class="lineno">  606</span>&#160;    OutputIterator first_out, </div><div class="line"><a name="l00607"></a><span class="lineno">  607</span>&#160;    std::size_t sequence_size, Transformer transform_op)<span class="keyword"> const</span></div><div class="line"><a name="l00608"></a><span class="lineno">  608</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00609"></a><span class="lineno">  609</span>&#160;<span class="preprocessor">  #pragma omp parallel for</span></div><div class="line"><a name="l00610"></a><span class="lineno">  610</span>&#160;  <span class="keywordflow">for</span> (std::size_t i=0; i&lt;sequence_size; ++i) {</div><div class="line"><a name="l00611"></a><span class="lineno">  611</span>&#160;    first_out[i] = <a class="code" href="namespacegrppi.html#ae2cebb801cfe8aeed12ff8d90c3b9dd0">apply_iterators_indexed</a>(transform_op, firsts, i);</div><div class="line"><a name="l00612"></a><span class="lineno">  612</span>&#160;  }</div><div class="line"><a name="l00613"></a><span class="lineno">  613</span>&#160;}</div><div class="line"><a name="l00614"></a><span class="lineno">  614</span>&#160;</div><div class="line"><a name="l00615"></a><span class="lineno">  615</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> InputIterator, <span class="keyword">typename</span> Identity, <span class="keyword">typename</span> Combiner&gt;</div><div class="line"><a name="l00616"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#a303ca62fb4c61ea2c41cbacf1fddc0a8">  616</a></span>&#160;<span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a303ca62fb4c61ea2c41cbacf1fddc0a8">parallel_execution_omp::reduce</a>(</div><div class="line"><a name="l00617"></a><span class="lineno">  617</span>&#160;    InputIterator first, std::size_t sequence_size,</div><div class="line"><a name="l00618"></a><span class="lineno">  618</span>&#160;    Identity &amp;&amp; identity,</div><div class="line"><a name="l00619"></a><span class="lineno">  619</span>&#160;    Combiner &amp;&amp; combine_op)<span class="keyword"> const</span></div><div class="line"><a name="l00620"></a><span class="lineno">  620</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00621"></a><span class="lineno">  621</span>&#160;  constexpr <a class="code" href="classgrppi_1_1sequential__execution.html">sequential_execution</a> seq;</div><div class="line"><a name="l00622"></a><span class="lineno">  622</span>&#160;</div><div class="line"><a name="l00623"></a><span class="lineno">  623</span>&#160;  <span class="keyword">using</span> <a class="code" href="namespacegrppi.html#a64dd705d0f32b64d20dba8d5b9cebbbe">result_type</a> = std::decay_t&lt;Identity&gt;;</div><div class="line"><a name="l00624"></a><span class="lineno">  624</span>&#160;  std::vector&lt;result_type&gt; partial_results(concurrency_degree_);</div><div class="line"><a name="l00625"></a><span class="lineno">  625</span>&#160;  <span class="keyword">auto</span> process_chunk = [&amp;](InputIterator f, std::size_t sz, std::size_t id) {</div><div class="line"><a name="l00626"></a><span class="lineno">  626</span>&#160;    partial_results[id] = seq.reduce(f, sz, std::forward&lt;Identity&gt;(identity), </div><div class="line"><a name="l00627"></a><span class="lineno">  627</span>&#160;        std::forward&lt;Combiner&gt;(combine_op));</div><div class="line"><a name="l00628"></a><span class="lineno">  628</span>&#160;  };</div><div class="line"><a name="l00629"></a><span class="lineno">  629</span>&#160;</div><div class="line"><a name="l00630"></a><span class="lineno">  630</span>&#160;  <span class="keyword">const</span> <span class="keyword">auto</span> chunk_size = sequence_size/concurrency_degree_;</div><div class="line"><a name="l00631"></a><span class="lineno">  631</span>&#160;</div><div class="line"><a name="l00632"></a><span class="lineno">  632</span>&#160;<span class="preprocessor">  #pragma omp parallel</span></div><div class="line"><a name="l00633"></a><span class="lineno">  633</span>&#160;  {</div><div class="line"><a name="l00634"></a><span class="lineno">  634</span>&#160;<span class="preprocessor">    #pragma omp single nowait</span></div><div class="line"><a name="l00635"></a><span class="lineno">  635</span>&#160;    {</div><div class="line"><a name="l00636"></a><span class="lineno">  636</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i=0 ;i&lt;concurrency_degree_-1; ++i) {</div><div class="line"><a name="l00637"></a><span class="lineno">  637</span>&#160;        <span class="keyword">const</span> <span class="keyword">auto</span> delta = chunk_size * i;</div><div class="line"><a name="l00638"></a><span class="lineno">  638</span>&#160;        <span class="keyword">const</span> <span class="keyword">auto</span> chunk_first = std::next(first,delta);</div><div class="line"><a name="l00639"></a><span class="lineno">  639</span>&#160;</div><div class="line"><a name="l00640"></a><span class="lineno">  640</span>&#160;<span class="preprocessor">        #pragma omp task firstprivate (chunk_first, chunk_size, i)</span></div><div class="line"><a name="l00641"></a><span class="lineno">  641</span>&#160;        {</div><div class="line"><a name="l00642"></a><span class="lineno">  642</span>&#160;          process_chunk(chunk_first, chunk_size, i);</div><div class="line"><a name="l00643"></a><span class="lineno">  643</span>&#160;        }</div><div class="line"><a name="l00644"></a><span class="lineno">  644</span>&#160;      }</div><div class="line"><a name="l00645"></a><span class="lineno">  645</span>&#160;    </div><div class="line"><a name="l00646"></a><span class="lineno">  646</span>&#160;      <span class="comment">//Main thread</span></div><div class="line"><a name="l00647"></a><span class="lineno">  647</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> delta = chunk_size * (concurrency_degree_ - 1);</div><div class="line"><a name="l00648"></a><span class="lineno">  648</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> chunk_first= std::next(first,delta);</div><div class="line"><a name="l00649"></a><span class="lineno">  649</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> chunk_sz = sequence_size - delta;</div><div class="line"><a name="l00650"></a><span class="lineno">  650</span>&#160;      process_chunk(chunk_first, chunk_sz, concurrency_degree_-1);</div><div class="line"><a name="l00651"></a><span class="lineno">  651</span>&#160;<span class="preprocessor">      #pragma omp taskwait</span></div><div class="line"><a name="l00652"></a><span class="lineno">  652</span>&#160;    }</div><div class="line"><a name="l00653"></a><span class="lineno">  653</span>&#160;  }</div><div class="line"><a name="l00654"></a><span class="lineno">  654</span>&#160;</div><div class="line"><a name="l00655"></a><span class="lineno">  655</span>&#160;  <span class="keywordflow">return</span> seq.reduce(std::next(partial_results.begin()), </div><div class="line"><a name="l00656"></a><span class="lineno">  656</span>&#160;      partial_results.size()-1,</div><div class="line"><a name="l00657"></a><span class="lineno">  657</span>&#160;      partial_results[0], std::forward&lt;Combiner&gt;(combine_op));</div><div class="line"><a name="l00658"></a><span class="lineno">  658</span>&#160;}</div><div class="line"><a name="l00659"></a><span class="lineno">  659</span>&#160;</div><div class="line"><a name="l00660"></a><span class="lineno">  660</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> ... InputIterators, <span class="keyword">typename</span> Identity, </div><div class="line"><a name="l00661"></a><span class="lineno">  661</span>&#160;          <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Combiner&gt;</div><div class="line"><a name="l00662"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#a252f36bcbd533fe0e1568711e47a2a4d">  662</a></span>&#160;<span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a252f36bcbd533fe0e1568711e47a2a4d">parallel_execution_omp::map_reduce</a>(</div><div class="line"><a name="l00663"></a><span class="lineno">  663</span>&#160;    std::tuple&lt;InputIterators...&gt; firsts,</div><div class="line"><a name="l00664"></a><span class="lineno">  664</span>&#160;    std::size_t sequence_size,</div><div class="line"><a name="l00665"></a><span class="lineno">  665</span>&#160;    Identity &amp;&amp; identity,</div><div class="line"><a name="l00666"></a><span class="lineno">  666</span>&#160;    Transformer &amp;&amp; transform_op, Combiner &amp;&amp; combine_op)<span class="keyword"> const</span></div><div class="line"><a name="l00667"></a><span class="lineno">  667</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00668"></a><span class="lineno">  668</span>&#160;  constexpr <a class="code" href="classgrppi_1_1sequential__execution.html">sequential_execution</a> seq;</div><div class="line"><a name="l00669"></a><span class="lineno">  669</span>&#160;</div><div class="line"><a name="l00670"></a><span class="lineno">  670</span>&#160;  <span class="keyword">using</span> <a class="code" href="namespacegrppi.html#a64dd705d0f32b64d20dba8d5b9cebbbe">result_type</a> = std::decay_t&lt;Identity&gt;;</div><div class="line"><a name="l00671"></a><span class="lineno">  671</span>&#160;  std::vector&lt;result_type&gt; partial_results(concurrency_degree_);</div><div class="line"><a name="l00672"></a><span class="lineno">  672</span>&#160;</div><div class="line"><a name="l00673"></a><span class="lineno">  673</span>&#160;  <span class="keyword">auto</span> process_chunk = [&amp;](<span class="keyword">auto</span> f, std::size_t sz, std::size_t i) {</div><div class="line"><a name="l00674"></a><span class="lineno">  674</span>&#160;    partial_results[i] = seq.map_reduce(</div><div class="line"><a name="l00675"></a><span class="lineno">  675</span>&#160;        f, sz, partial_results[i],</div><div class="line"><a name="l00676"></a><span class="lineno">  676</span>&#160;        std::forward&lt;Transformer&gt;(transform_op), </div><div class="line"><a name="l00677"></a><span class="lineno">  677</span>&#160;        std::forward&lt;Combiner&gt;(combine_op));</div><div class="line"><a name="l00678"></a><span class="lineno">  678</span>&#160;  };</div><div class="line"><a name="l00679"></a><span class="lineno">  679</span>&#160;</div><div class="line"><a name="l00680"></a><span class="lineno">  680</span>&#160;  <span class="keyword">const</span> <span class="keyword">auto</span> chunk_size = sequence_size / concurrency_degree_;</div><div class="line"><a name="l00681"></a><span class="lineno">  681</span>&#160;</div><div class="line"><a name="l00682"></a><span class="lineno">  682</span>&#160;<span class="preprocessor">  #pragma omp parallel</span></div><div class="line"><a name="l00683"></a><span class="lineno">  683</span>&#160;  {</div><div class="line"><a name="l00684"></a><span class="lineno">  684</span>&#160;<span class="preprocessor">    #pragma omp single nowait</span></div><div class="line"><a name="l00685"></a><span class="lineno">  685</span>&#160;    {</div><div class="line"><a name="l00686"></a><span class="lineno">  686</span>&#160;</div><div class="line"><a name="l00687"></a><span class="lineno">  687</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i=0;i&lt;concurrency_degree_-1;++i) {    </div><div class="line"><a name="l00688"></a><span class="lineno">  688</span>&#160;<span class="preprocessor">        #pragma omp task firstprivate(i)</span></div><div class="line"><a name="l00689"></a><span class="lineno">  689</span>&#160;        {</div><div class="line"><a name="l00690"></a><span class="lineno">  690</span>&#160;          <span class="keyword">const</span> <span class="keyword">auto</span> delta = chunk_size * i;</div><div class="line"><a name="l00691"></a><span class="lineno">  691</span>&#160;          <span class="keyword">const</span> <span class="keyword">auto</span> chunk_firsts = <a class="code" href="namespacegrppi.html#ab39b26ce38bba1d96af530ebcd807693">iterators_next</a>(firsts,delta);</div><div class="line"><a name="l00692"></a><span class="lineno">  692</span>&#160;          <span class="keyword">const</span> <span class="keyword">auto</span> chunk_last = std::next(std::get&lt;0&gt;(chunk_firsts), chunk_size);</div><div class="line"><a name="l00693"></a><span class="lineno">  693</span>&#160;          process_chunk(chunk_firsts, chunk_size, i);</div><div class="line"><a name="l00694"></a><span class="lineno">  694</span>&#160;        }</div><div class="line"><a name="l00695"></a><span class="lineno">  695</span>&#160;      }</div><div class="line"><a name="l00696"></a><span class="lineno">  696</span>&#160;</div><div class="line"><a name="l00697"></a><span class="lineno">  697</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> delta = chunk_size * (concurrency_degree_ - 1);</div><div class="line"><a name="l00698"></a><span class="lineno">  698</span>&#160;      <span class="keyword">auto</span> chunk_firsts = <a class="code" href="namespacegrppi.html#ab39b26ce38bba1d96af530ebcd807693">iterators_next</a>(firsts,delta);</div><div class="line"><a name="l00699"></a><span class="lineno">  699</span>&#160;      <span class="keyword">auto</span> chunk_last = std::next(std::get&lt;0&gt;(firsts), sequence_size);</div><div class="line"><a name="l00700"></a><span class="lineno">  700</span>&#160;      process_chunk(chunk_firsts, </div><div class="line"><a name="l00701"></a><span class="lineno">  701</span>&#160;          std::distance(std::get&lt;0&gt;(chunk_firsts), chunk_last), </div><div class="line"><a name="l00702"></a><span class="lineno">  702</span>&#160;          concurrency_degree_ - 1);</div><div class="line"><a name="l00703"></a><span class="lineno">  703</span>&#160;<span class="preprocessor">      #pragma omp taskwait</span></div><div class="line"><a name="l00704"></a><span class="lineno">  704</span>&#160;    }</div><div class="line"><a name="l00705"></a><span class="lineno">  705</span>&#160;  }</div><div class="line"><a name="l00706"></a><span class="lineno">  706</span>&#160;</div><div class="line"><a name="l00707"></a><span class="lineno">  707</span>&#160;  <span class="keywordflow">return</span> seq.reduce(std::next(partial_results.begin()), </div><div class="line"><a name="l00708"></a><span class="lineno">  708</span>&#160;      partial_results.size()-1,</div><div class="line"><a name="l00709"></a><span class="lineno">  709</span>&#160;      partial_results[0], std::forward&lt;Combiner&gt;(combine_op));</div><div class="line"><a name="l00710"></a><span class="lineno">  710</span>&#160;}</div><div class="line"><a name="l00711"></a><span class="lineno">  711</span>&#160;</div><div class="line"><a name="l00712"></a><span class="lineno">  712</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> ... InputIterators, <span class="keyword">typename</span> OutputIterator,</div><div class="line"><a name="l00713"></a><span class="lineno">  713</span>&#160;          <span class="keyword">typename</span> StencilTransformer, <span class="keyword">typename</span> Neighbourhood&gt;</div><div class="line"><a name="l00714"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#afdf64586e1ec6dbff9787d67ca600f4e">  714</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#afdf64586e1ec6dbff9787d67ca600f4e">parallel_execution_omp::stencil</a>(</div><div class="line"><a name="l00715"></a><span class="lineno">  715</span>&#160;    std::tuple&lt;InputIterators...&gt; firsts, OutputIterator first_out,</div><div class="line"><a name="l00716"></a><span class="lineno">  716</span>&#160;    std::size_t sequence_size,</div><div class="line"><a name="l00717"></a><span class="lineno">  717</span>&#160;    StencilTransformer &amp;&amp; transform_op,</div><div class="line"><a name="l00718"></a><span class="lineno">  718</span>&#160;    Neighbourhood &amp;&amp; neighbour_op)<span class="keyword"> const</span></div><div class="line"><a name="l00719"></a><span class="lineno">  719</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00720"></a><span class="lineno">  720</span>&#160;  constexpr <a class="code" href="classgrppi_1_1sequential__execution.html">sequential_execution</a> seq;</div><div class="line"><a name="l00721"></a><span class="lineno">  721</span>&#160;  <span class="keyword">const</span> <span class="keyword">auto</span> chunk_size = sequence_size / concurrency_degree_;</div><div class="line"><a name="l00722"></a><span class="lineno">  722</span>&#160;  <span class="keyword">auto</span> process_chunk = [&amp;](<span class="keyword">auto</span> f, std::size_t sz, std::size_t delta) {</div><div class="line"><a name="l00723"></a><span class="lineno">  723</span>&#160;    seq.stencil(f, std::next(first_out,delta), sz,</div><div class="line"><a name="l00724"></a><span class="lineno">  724</span>&#160;      std::forward&lt;StencilTransformer&gt;(transform_op),</div><div class="line"><a name="l00725"></a><span class="lineno">  725</span>&#160;      std::forward&lt;Neighbourhood&gt;(neighbour_op));</div><div class="line"><a name="l00726"></a><span class="lineno">  726</span>&#160;  };</div><div class="line"><a name="l00727"></a><span class="lineno">  727</span>&#160;</div><div class="line"><a name="l00728"></a><span class="lineno">  728</span>&#160;<span class="preprocessor">  #pragma omp parallel </span></div><div class="line"><a name="l00729"></a><span class="lineno">  729</span>&#160;  {</div><div class="line"><a name="l00730"></a><span class="lineno">  730</span>&#160;<span class="preprocessor">    #pragma omp single nowait</span></div><div class="line"><a name="l00731"></a><span class="lineno">  731</span>&#160;    {</div><div class="line"><a name="l00732"></a><span class="lineno">  732</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i=0; i&lt;concurrency_degree_-1; ++i) {</div><div class="line"><a name="l00733"></a><span class="lineno">  733</span>&#160;<span class="preprocessor">        #pragma omp task firstprivate(i)</span></div><div class="line"><a name="l00734"></a><span class="lineno">  734</span>&#160;        {</div><div class="line"><a name="l00735"></a><span class="lineno">  735</span>&#160;          <span class="keyword">const</span> <span class="keyword">auto</span> delta = chunk_size * i;</div><div class="line"><a name="l00736"></a><span class="lineno">  736</span>&#160;          <span class="keyword">const</span> <span class="keyword">auto</span> chunk_firsts = <a class="code" href="namespacegrppi.html#ab39b26ce38bba1d96af530ebcd807693">iterators_next</a>(firsts,delta);</div><div class="line"><a name="l00737"></a><span class="lineno">  737</span>&#160;          process_chunk(chunk_firsts, chunk_size, delta);</div><div class="line"><a name="l00738"></a><span class="lineno">  738</span>&#160;        }</div><div class="line"><a name="l00739"></a><span class="lineno">  739</span>&#160;      }</div><div class="line"><a name="l00740"></a><span class="lineno">  740</span>&#160;</div><div class="line"><a name="l00741"></a><span class="lineno">  741</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> delta = chunk_size * (concurrency_degree_ - 1);</div><div class="line"><a name="l00742"></a><span class="lineno">  742</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> chunk_firsts = <a class="code" href="namespacegrppi.html#ab39b26ce38bba1d96af530ebcd807693">iterators_next</a>(firsts,delta);</div><div class="line"><a name="l00743"></a><span class="lineno">  743</span>&#160;      <span class="keyword">const</span> <span class="keyword">auto</span> chunk_last = std::next(std::get&lt;0&gt;(firsts), sequence_size);</div><div class="line"><a name="l00744"></a><span class="lineno">  744</span>&#160;      process_chunk(chunk_firsts, </div><div class="line"><a name="l00745"></a><span class="lineno">  745</span>&#160;          std::distance(std::get&lt;0&gt;(chunk_firsts), chunk_last), delta);</div><div class="line"><a name="l00746"></a><span class="lineno">  746</span>&#160;</div><div class="line"><a name="l00747"></a><span class="lineno">  747</span>&#160;<span class="preprocessor">      #pragma omp taskwait</span></div><div class="line"><a name="l00748"></a><span class="lineno">  748</span>&#160;    }</div><div class="line"><a name="l00749"></a><span class="lineno">  749</span>&#160;  }</div><div class="line"><a name="l00750"></a><span class="lineno">  750</span>&#160;}</div><div class="line"><a name="l00751"></a><span class="lineno">  751</span>&#160;</div><div class="line"><a name="l00752"></a><span class="lineno">  752</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er,<span class="keyword">typename</span> Predicate, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div><div class="line"><a name="l00753"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#af56c99c1c5709a611c1f20107ca8fa32">  753</a></span>&#160;<span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">parallel_execution_omp::divide_conquer</a>(</div><div class="line"><a name="l00754"></a><span class="lineno">  754</span>&#160;    Input &amp;&amp; input,</div><div class="line"><a name="l00755"></a><span class="lineno">  755</span>&#160;    Divider &amp;&amp; divide_op,</div><div class="line"><a name="l00756"></a><span class="lineno">  756</span>&#160;    Predicate &amp;&amp; predicate_op,</div><div class="line"><a name="l00757"></a><span class="lineno">  757</span>&#160;    Solver &amp;&amp; solve_op,</div><div class="line"><a name="l00758"></a><span class="lineno">  758</span>&#160;    Combiner &amp;&amp; combine_op)<span class="keyword"> const</span></div><div class="line"><a name="l00759"></a><span class="lineno">  759</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00760"></a><span class="lineno">  760</span>&#160;  std::atomic&lt;int&gt; num_threads{concurrency_degree_-1};</div><div class="line"><a name="l00761"></a><span class="lineno">  761</span>&#160;</div><div class="line"><a name="l00762"></a><span class="lineno">  762</span>&#160;  <span class="keywordflow">return</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">divide_conquer</a>(std::forward&lt;Input&gt;(input),</div><div class="line"><a name="l00763"></a><span class="lineno">  763</span>&#160;      std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Predicate&gt;(predicate_op),</div><div class="line"><a name="l00764"></a><span class="lineno">  764</span>&#160;      std::forward&lt;Solver&gt;(solve_op),</div><div class="line"><a name="l00765"></a><span class="lineno">  765</span>&#160;      std::forward&lt;Combiner&gt;(combine_op),</div><div class="line"><a name="l00766"></a><span class="lineno">  766</span>&#160;      num_threads);</div><div class="line"><a name="l00767"></a><span class="lineno">  767</span>&#160;}</div><div class="line"><a name="l00768"></a><span class="lineno">  768</span>&#160;</div><div class="line"><a name="l00769"></a><span class="lineno">  769</span>&#160;</div><div class="line"><a name="l00770"></a><span class="lineno">  770</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div><div class="line"><a name="l00771"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">  771</a></span>&#160;<span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">parallel_execution_omp::divide_conquer</a>(</div><div class="line"><a name="l00772"></a><span class="lineno">  772</span>&#160;    Input &amp;&amp; input, </div><div class="line"><a name="l00773"></a><span class="lineno">  773</span>&#160;    Divider &amp;&amp; divide_op, </div><div class="line"><a name="l00774"></a><span class="lineno">  774</span>&#160;    Solver &amp;&amp; solve_op, </div><div class="line"><a name="l00775"></a><span class="lineno">  775</span>&#160;    Combiner &amp;&amp; combine_op)<span class="keyword"> const</span></div><div class="line"><a name="l00776"></a><span class="lineno">  776</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00777"></a><span class="lineno">  777</span>&#160;  std::atomic&lt;int&gt; num_threads{concurrency_degree_-1};</div><div class="line"><a name="l00778"></a><span class="lineno">  778</span>&#160;  </div><div class="line"><a name="l00779"></a><span class="lineno">  779</span>&#160;  <span class="keywordflow">return</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">divide_conquer</a>(std::forward&lt;Input&gt;(input), </div><div class="line"><a name="l00780"></a><span class="lineno">  780</span>&#160;      std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Solver&gt;(solve_op), </div><div class="line"><a name="l00781"></a><span class="lineno">  781</span>&#160;      std::forward&lt;Combiner&gt;(combine_op),</div><div class="line"><a name="l00782"></a><span class="lineno">  782</span>&#160;      num_threads);</div><div class="line"><a name="l00783"></a><span class="lineno">  783</span>&#160;}</div><div class="line"><a name="l00784"></a><span class="lineno">  784</span>&#160;</div><div class="line"><a name="l00785"></a><span class="lineno">  785</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Generator, <span class="keyword">typename</span> ... Transformers&gt;</div><div class="line"><a name="l00786"></a><span class="lineno"><a class="line" href="classgrppi_1_1parallel__execution__omp.html#a6a2bacd11b04b35825a1cb1360077b6c">  786</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a6a2bacd11b04b35825a1cb1360077b6c">parallel_execution_omp::pipeline</a>(</div><div class="line"><a name="l00787"></a><span class="lineno">  787</span>&#160;    Generator &amp;&amp; generate_op, </div><div class="line"><a name="l00788"></a><span class="lineno">  788</span>&#160;    Transformers &amp;&amp; ... transform_ops)<span class="keyword"> const</span></div><div class="line"><a name="l00789"></a><span class="lineno">  789</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00790"></a><span class="lineno">  790</span>&#160;  <span class="keyword">using namespace </span><a class="code" href="namespacestd.html">std</a>;</div><div class="line"><a name="l00791"></a><span class="lineno">  791</span>&#160;</div><div class="line"><a name="l00792"></a><span class="lineno">  792</span>&#160;  <span class="keyword">using</span> <a class="code" href="namespacegrppi.html#a64dd705d0f32b64d20dba8d5b9cebbbe">result_type</a> = decay_t&lt;typename result_of&lt;Generator()&gt;::type&gt;;</div><div class="line"><a name="l00793"></a><span class="lineno">  793</span>&#160;  <span class="keyword">auto</span> output_queue = make_queue&lt;pair&lt;result_type,long&gt;&gt;(); </div><div class="line"><a name="l00794"></a><span class="lineno">  794</span>&#160;</div><div class="line"><a name="l00795"></a><span class="lineno">  795</span>&#160;<span class="preprocessor">  #pragma omp parallel</span></div><div class="line"><a name="l00796"></a><span class="lineno">  796</span>&#160;  {</div><div class="line"><a name="l00797"></a><span class="lineno">  797</span>&#160;<span class="preprocessor">    #pragma omp single nowait</span></div><div class="line"><a name="l00798"></a><span class="lineno">  798</span>&#160;    {</div><div class="line"><a name="l00799"></a><span class="lineno">  799</span>&#160;<span class="preprocessor">      #pragma omp task shared(generate_op,output_queue)</span></div><div class="line"><a name="l00800"></a><span class="lineno">  800</span>&#160;      {</div><div class="line"><a name="l00801"></a><span class="lineno">  801</span>&#160;        <span class="keywordtype">long</span> order = 0;</div><div class="line"><a name="l00802"></a><span class="lineno">  802</span>&#160;        <span class="keywordflow">for</span> (;;) {</div><div class="line"><a name="l00803"></a><span class="lineno">  803</span>&#160;          <span class="keyword">auto</span> item = generate_op();</div><div class="line"><a name="l00804"></a><span class="lineno">  804</span>&#160;          output_queue.push(make_pair(item,order++)) ;</div><div class="line"><a name="l00805"></a><span class="lineno">  805</span>&#160;          <span class="keywordflow">if</span> (!item) <span class="keywordflow">break</span>;</div><div class="line"><a name="l00806"></a><span class="lineno">  806</span>&#160;        }</div><div class="line"><a name="l00807"></a><span class="lineno">  807</span>&#160;      }</div><div class="line"><a name="l00808"></a><span class="lineno">  808</span>&#160;      do_pipeline(output_queue,</div><div class="line"><a name="l00809"></a><span class="lineno">  809</span>&#160;          forward&lt;Transformers&gt;(transform_ops)...);</div><div class="line"><a name="l00810"></a><span class="lineno">  810</span>&#160;<span class="preprocessor">      #pragma omp taskwait</span></div><div class="line"><a name="l00811"></a><span class="lineno">  811</span>&#160;    }</div><div class="line"><a name="l00812"></a><span class="lineno">  812</span>&#160;  }</div><div class="line"><a name="l00813"></a><span class="lineno">  813</span>&#160;}</div><div class="line"><a name="l00814"></a><span class="lineno">  814</span>&#160;</div><div class="line"><a name="l00815"></a><span class="lineno">  815</span>&#160;<span class="comment">// PRIVATE MEMBERS</span></div><div class="line"><a name="l00816"></a><span class="lineno">  816</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er,<span class="keyword">typename</span> Predicate, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div><div class="line"><a name="l00817"></a><span class="lineno">  817</span>&#160;<span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">parallel_execution_omp::divide_conquer</a>(</div><div class="line"><a name="l00818"></a><span class="lineno">  818</span>&#160;    Input &amp;&amp; input,</div><div class="line"><a name="l00819"></a><span class="lineno">  819</span>&#160;    Divider &amp;&amp; divide_op,</div><div class="line"><a name="l00820"></a><span class="lineno">  820</span>&#160;    Predicate &amp;&amp; predicate_op,</div><div class="line"><a name="l00821"></a><span class="lineno">  821</span>&#160;    Solver &amp;&amp; solve_op,</div><div class="line"><a name="l00822"></a><span class="lineno">  822</span>&#160;    Combiner &amp;&amp; combine_op,</div><div class="line"><a name="l00823"></a><span class="lineno">  823</span>&#160;    std::atomic&lt;int&gt; &amp; num_threads)<span class="keyword"> const</span></div><div class="line"><a name="l00824"></a><span class="lineno">  824</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00825"></a><span class="lineno">  825</span>&#160;  constexpr <a class="code" href="classgrppi_1_1sequential__execution.html">sequential_execution</a> seq;</div><div class="line"><a name="l00826"></a><span class="lineno">  826</span>&#160;  <span class="keywordflow">if</span> (num_threads.load()&lt;=0) {</div><div class="line"><a name="l00827"></a><span class="lineno">  827</span>&#160;    <span class="keywordflow">return</span> seq.<a class="code" href="classgrppi_1_1sequential__execution.html#a5b2e9b3427ba153715b527e795a296aa">divide_conquer</a>(std::forward&lt;Input&gt;(input),</div><div class="line"><a name="l00828"></a><span class="lineno">  828</span>&#160;        std::forward&lt;Divider&gt;(divide_op),std::forward&lt;Predicate&gt;(predicate_op),</div><div class="line"><a name="l00829"></a><span class="lineno">  829</span>&#160;        std::forward&lt;Solver&gt;(solve_op),</div><div class="line"><a name="l00830"></a><span class="lineno">  830</span>&#160;        std::forward&lt;Combiner&gt;(combine_op));</div><div class="line"><a name="l00831"></a><span class="lineno">  831</span>&#160;  }</div><div class="line"><a name="l00832"></a><span class="lineno">  832</span>&#160;</div><div class="line"><a name="l00833"></a><span class="lineno">  833</span>&#160;  <span class="keywordflow">if</span> (predicate_op(input)) { <span class="keywordflow">return</span> solve_op(std::forward&lt;Input&gt;(input)); }</div><div class="line"><a name="l00834"></a><span class="lineno">  834</span>&#160;  <span class="keyword">auto</span> subproblems = divide_op(std::forward&lt;Input&gt;(input));</div><div class="line"><a name="l00835"></a><span class="lineno">  835</span>&#160;</div><div class="line"><a name="l00836"></a><span class="lineno">  836</span>&#160;  <span class="keyword">using</span> subresult_type =</div><div class="line"><a name="l00837"></a><span class="lineno">  837</span>&#160;      std::decay_t&lt;typename std::result_of&lt;Solver(Input)&gt;::type&gt;;</div><div class="line"><a name="l00838"></a><span class="lineno">  838</span>&#160;  std::vector&lt;subresult_type&gt; partials(subproblems.size()-1);</div><div class="line"><a name="l00839"></a><span class="lineno">  839</span>&#160;</div><div class="line"><a name="l00840"></a><span class="lineno">  840</span>&#160;  <span class="keyword">auto</span> process_subproblems = [&amp;,<span class="keyword">this</span>](<span class="keyword">auto</span> it, std::size_t div) {</div><div class="line"><a name="l00841"></a><span class="lineno">  841</span>&#160;    partials[div] = this-&gt;<a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">divide_conquer</a>(std::forward&lt;Input&gt;(*it),</div><div class="line"><a name="l00842"></a><span class="lineno">  842</span>&#160;        std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Predicate&gt;(predicate_op),</div><div class="line"><a name="l00843"></a><span class="lineno">  843</span>&#160;        std::forward&lt;Solver&gt;(solve_op),</div><div class="line"><a name="l00844"></a><span class="lineno">  844</span>&#160;        std::forward&lt;Combiner&gt;(combine_op), num_threads);</div><div class="line"><a name="l00845"></a><span class="lineno">  845</span>&#160;  };</div><div class="line"><a name="l00846"></a><span class="lineno">  846</span>&#160;</div><div class="line"><a name="l00847"></a><span class="lineno">  847</span>&#160;  <span class="keywordtype">int</span> division = 0;</div><div class="line"><a name="l00848"></a><span class="lineno">  848</span>&#160;  subresult_type subresult;</div><div class="line"><a name="l00849"></a><span class="lineno">  849</span>&#160;</div><div class="line"><a name="l00850"></a><span class="lineno">  850</span>&#160;<span class="preprocessor">  #pragma omp parallel</span></div><div class="line"><a name="l00851"></a><span class="lineno">  851</span>&#160;  {</div><div class="line"><a name="l00852"></a><span class="lineno">  852</span>&#160;<span class="preprocessor">    #pragma omp single nowait</span></div><div class="line"><a name="l00853"></a><span class="lineno">  853</span>&#160;    {</div><div class="line"><a name="l00854"></a><span class="lineno">  854</span>&#160;      <span class="keyword">auto</span> i = subproblems.begin() + 1;</div><div class="line"><a name="l00855"></a><span class="lineno">  855</span>&#160;      <span class="keywordflow">while</span> (i!=subproblems.end() &amp;&amp; num_threads.load()&gt;0) {</div><div class="line"><a name="l00856"></a><span class="lineno">  856</span>&#160;<span class="preprocessor">        #pragma omp task firstprivate(i,division) \</span></div><div class="line"><a name="l00857"></a><span class="lineno">  857</span>&#160;<span class="preprocessor">                shared(partials,divide_op,solve_op,combine_op,num_threads)</span></div><div class="line"><a name="l00858"></a><span class="lineno">  858</span>&#160;        {</div><div class="line"><a name="l00859"></a><span class="lineno">  859</span>&#160;           process_subproblems(i, division);</div><div class="line"><a name="l00860"></a><span class="lineno">  860</span>&#160;        }</div><div class="line"><a name="l00861"></a><span class="lineno">  861</span>&#160;        num_threads --;</div><div class="line"><a name="l00862"></a><span class="lineno">  862</span>&#160;        i++;</div><div class="line"><a name="l00863"></a><span class="lineno">  863</span>&#160;        division++;</div><div class="line"><a name="l00864"></a><span class="lineno">  864</span>&#160;      }</div><div class="line"><a name="l00865"></a><span class="lineno">  865</span>&#160;</div><div class="line"><a name="l00866"></a><span class="lineno">  866</span>&#160;      <span class="keywordflow">while</span> (i!=subproblems.end()) {</div><div class="line"><a name="l00867"></a><span class="lineno">  867</span>&#160;        partials[division] = seq.divide_conquer(std::forward&lt;Input&gt;(*i++),</div><div class="line"><a name="l00868"></a><span class="lineno">  868</span>&#160;          std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Predicate&gt;(predicate_op),</div><div class="line"><a name="l00869"></a><span class="lineno">  869</span>&#160;          std::forward&lt;Solver&gt;(solve_op),</div><div class="line"><a name="l00870"></a><span class="lineno">  870</span>&#160;          std::forward&lt;Combiner&gt;(combine_op));</div><div class="line"><a name="l00871"></a><span class="lineno">  871</span>&#160;      }</div><div class="line"><a name="l00872"></a><span class="lineno">  872</span>&#160;</div><div class="line"><a name="l00873"></a><span class="lineno">  873</span>&#160;      <span class="comment">//Main thread works on the first subproblem.</span></div><div class="line"><a name="l00874"></a><span class="lineno">  874</span>&#160;      <span class="keywordflow">if</span> (num_threads.load()&gt;0) {</div><div class="line"><a name="l00875"></a><span class="lineno">  875</span>&#160;        subresult = <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">divide_conquer</a>(std::forward&lt;Input&gt;(*subproblems.begin()),</div><div class="line"><a name="l00876"></a><span class="lineno">  876</span>&#160;            std::forward&lt;Divider&gt;(divide_op),std::forward&lt;Predicate&gt;(predicate_op),</div><div class="line"><a name="l00877"></a><span class="lineno">  877</span>&#160;            std::forward&lt;Solver&gt;(solve_op),</div><div class="line"><a name="l00878"></a><span class="lineno">  878</span>&#160;            std::forward&lt;Combiner&gt;(combine_op), num_threads);</div><div class="line"><a name="l00879"></a><span class="lineno">  879</span>&#160;      }</div><div class="line"><a name="l00880"></a><span class="lineno">  880</span>&#160;      <span class="keywordflow">else</span> {</div><div class="line"><a name="l00881"></a><span class="lineno">  881</span>&#160;        subresult = seq.divide_conquer(std::forward&lt;Input&gt;(*subproblems.begin()),</div><div class="line"><a name="l00882"></a><span class="lineno">  882</span>&#160;            std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Predicate&gt;(predicate_op),</div><div class="line"><a name="l00883"></a><span class="lineno">  883</span>&#160;            std::forward&lt;Solver&gt;(solve_op),</div><div class="line"><a name="l00884"></a><span class="lineno">  884</span>&#160;            std::forward&lt;Combiner&gt;(combine_op));</div><div class="line"><a name="l00885"></a><span class="lineno">  885</span>&#160;      }</div><div class="line"><a name="l00886"></a><span class="lineno">  886</span>&#160;<span class="preprocessor">      #pragma omp taskwait</span></div><div class="line"><a name="l00887"></a><span class="lineno">  887</span>&#160;    }</div><div class="line"><a name="l00888"></a><span class="lineno">  888</span>&#160;  }</div><div class="line"><a name="l00889"></a><span class="lineno">  889</span>&#160;  <span class="keywordflow">return</span> seq.reduce(partials.begin(), partials.size(),</div><div class="line"><a name="l00890"></a><span class="lineno">  890</span>&#160;      std::forward&lt;subresult_type&gt;(subresult), combine_op);</div><div class="line"><a name="l00891"></a><span class="lineno">  891</span>&#160;}</div><div class="line"><a name="l00892"></a><span class="lineno">  892</span>&#160;</div><div class="line"><a name="l00893"></a><span class="lineno">  893</span>&#160;</div><div class="line"><a name="l00894"></a><span class="lineno">  894</span>&#160;</div><div class="line"><a name="l00895"></a><span class="lineno">  895</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Input, <span class="keyword">typename</span> Div<span class="keywordtype">id</span>er, <span class="keyword">typename</span> Solver, <span class="keyword">typename</span> Combiner&gt;</div><div class="line"><a name="l00896"></a><span class="lineno">  896</span>&#160;<span class="keyword">auto</span> <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">parallel_execution_omp::divide_conquer</a>(</div><div class="line"><a name="l00897"></a><span class="lineno">  897</span>&#160;    Input &amp;&amp; input, </div><div class="line"><a name="l00898"></a><span class="lineno">  898</span>&#160;    Divider &amp;&amp; divide_op, </div><div class="line"><a name="l00899"></a><span class="lineno">  899</span>&#160;    Solver &amp;&amp; solve_op, </div><div class="line"><a name="l00900"></a><span class="lineno">  900</span>&#160;    Combiner &amp;&amp; combine_op,</div><div class="line"><a name="l00901"></a><span class="lineno">  901</span>&#160;    std::atomic&lt;int&gt; &amp; num_threads)<span class="keyword"> const</span></div><div class="line"><a name="l00902"></a><span class="lineno">  902</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00903"></a><span class="lineno">  903</span>&#160;  constexpr <a class="code" href="classgrppi_1_1sequential__execution.html">sequential_execution</a> seq;</div><div class="line"><a name="l00904"></a><span class="lineno">  904</span>&#160;  <span class="keywordflow">if</span> (num_threads.load()&lt;=0) {</div><div class="line"><a name="l00905"></a><span class="lineno">  905</span>&#160;    <span class="keywordflow">return</span> seq.<a class="code" href="classgrppi_1_1sequential__execution.html#a5b2e9b3427ba153715b527e795a296aa">divide_conquer</a>(std::forward&lt;Input&gt;(input), </div><div class="line"><a name="l00906"></a><span class="lineno">  906</span>&#160;        std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Solver&gt;(solve_op), </div><div class="line"><a name="l00907"></a><span class="lineno">  907</span>&#160;        std::forward&lt;Combiner&gt;(combine_op));</div><div class="line"><a name="l00908"></a><span class="lineno">  908</span>&#160;  }</div><div class="line"><a name="l00909"></a><span class="lineno">  909</span>&#160;</div><div class="line"><a name="l00910"></a><span class="lineno">  910</span>&#160;  <span class="keyword">auto</span> subproblems = divide_op(std::forward&lt;Input&gt;(input));</div><div class="line"><a name="l00911"></a><span class="lineno">  911</span>&#160;  <span class="keywordflow">if</span> (subproblems.size()&lt;=1) { <span class="keywordflow">return</span> solve_op(std::forward&lt;Input&gt;(input)); }</div><div class="line"><a name="l00912"></a><span class="lineno">  912</span>&#160;</div><div class="line"><a name="l00913"></a><span class="lineno">  913</span>&#160;  <span class="keyword">using</span> subresult_type = </div><div class="line"><a name="l00914"></a><span class="lineno">  914</span>&#160;      std::decay_t&lt;typename std::result_of&lt;Solver(Input)&gt;::type&gt;;</div><div class="line"><a name="l00915"></a><span class="lineno">  915</span>&#160;  std::vector&lt;subresult_type&gt; partials(subproblems.size()-1);</div><div class="line"><a name="l00916"></a><span class="lineno">  916</span>&#160;</div><div class="line"><a name="l00917"></a><span class="lineno">  917</span>&#160;  <span class="keyword">auto</span> process_subproblems = [&amp;,<span class="keyword">this</span>](<span class="keyword">auto</span> it, std::size_t div) {</div><div class="line"><a name="l00918"></a><span class="lineno">  918</span>&#160;    partials[div] = this-&gt;<a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">divide_conquer</a>(std::forward&lt;Input&gt;(*it), </div><div class="line"><a name="l00919"></a><span class="lineno">  919</span>&#160;        std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Solver&gt;(solve_op), </div><div class="line"><a name="l00920"></a><span class="lineno">  920</span>&#160;        std::forward&lt;Combiner&gt;(combine_op), num_threads);</div><div class="line"><a name="l00921"></a><span class="lineno">  921</span>&#160;  };</div><div class="line"><a name="l00922"></a><span class="lineno">  922</span>&#160;</div><div class="line"><a name="l00923"></a><span class="lineno">  923</span>&#160;  <span class="keywordtype">int</span> division = 0;</div><div class="line"><a name="l00924"></a><span class="lineno">  924</span>&#160;  subresult_type subresult;</div><div class="line"><a name="l00925"></a><span class="lineno">  925</span>&#160;</div><div class="line"><a name="l00926"></a><span class="lineno">  926</span>&#160;<span class="preprocessor">  #pragma omp parallel</span></div><div class="line"><a name="l00927"></a><span class="lineno">  927</span>&#160;  {</div><div class="line"><a name="l00928"></a><span class="lineno">  928</span>&#160;<span class="preprocessor">    #pragma omp single nowait</span></div><div class="line"><a name="l00929"></a><span class="lineno">  929</span>&#160;    { </div><div class="line"><a name="l00930"></a><span class="lineno">  930</span>&#160;      <span class="keyword">auto</span> i = subproblems.begin() + 1;</div><div class="line"><a name="l00931"></a><span class="lineno">  931</span>&#160;      <span class="keywordflow">while</span> (i!=subproblems.end() &amp;&amp; num_threads.load()&gt;0) {</div><div class="line"><a name="l00932"></a><span class="lineno">  932</span>&#160;<span class="preprocessor">        #pragma omp task firstprivate(i,division) \</span></div><div class="line"><a name="l00933"></a><span class="lineno">  933</span>&#160;<span class="preprocessor">                shared(partials,divide_op,solve_op,combine_op,num_threads)</span></div><div class="line"><a name="l00934"></a><span class="lineno">  934</span>&#160;        {</div><div class="line"><a name="l00935"></a><span class="lineno">  935</span>&#160;           process_subproblems(i, division);</div><div class="line"><a name="l00936"></a><span class="lineno">  936</span>&#160;        }</div><div class="line"><a name="l00937"></a><span class="lineno">  937</span>&#160;        num_threads --;</div><div class="line"><a name="l00938"></a><span class="lineno">  938</span>&#160;        i++;</div><div class="line"><a name="l00939"></a><span class="lineno">  939</span>&#160;        division++;</div><div class="line"><a name="l00940"></a><span class="lineno">  940</span>&#160;      }</div><div class="line"><a name="l00941"></a><span class="lineno">  941</span>&#160;</div><div class="line"><a name="l00942"></a><span class="lineno">  942</span>&#160;      <span class="keywordflow">while</span> (i!=subproblems.end()) { </div><div class="line"><a name="l00943"></a><span class="lineno">  943</span>&#160;        partials[division] = seq.divide_conquer(std::forward&lt;Input&gt;(*i++), </div><div class="line"><a name="l00944"></a><span class="lineno">  944</span>&#160;          std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Solver&gt;(solve_op), </div><div class="line"><a name="l00945"></a><span class="lineno">  945</span>&#160;          std::forward&lt;Combiner&gt;(combine_op));</div><div class="line"><a name="l00946"></a><span class="lineno">  946</span>&#160;      }</div><div class="line"><a name="l00947"></a><span class="lineno">  947</span>&#160;</div><div class="line"><a name="l00948"></a><span class="lineno">  948</span>&#160;      <span class="comment">//Main thread works on the first subproblem.</span></div><div class="line"><a name="l00949"></a><span class="lineno">  949</span>&#160;      <span class="keywordflow">if</span> (num_threads.load()&gt;0) {</div><div class="line"><a name="l00950"></a><span class="lineno">  950</span>&#160;        subresult = <a class="code" href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">divide_conquer</a>(std::forward&lt;Input&gt;(*subproblems.begin()), </div><div class="line"><a name="l00951"></a><span class="lineno">  951</span>&#160;            std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Solver&gt;(solve_op), </div><div class="line"><a name="l00952"></a><span class="lineno">  952</span>&#160;            std::forward&lt;Combiner&gt;(combine_op), num_threads);</div><div class="line"><a name="l00953"></a><span class="lineno">  953</span>&#160;      }</div><div class="line"><a name="l00954"></a><span class="lineno">  954</span>&#160;      <span class="keywordflow">else</span> {</div><div class="line"><a name="l00955"></a><span class="lineno">  955</span>&#160;        subresult = seq.divide_conquer(std::forward&lt;Input&gt;(*subproblems.begin()), </div><div class="line"><a name="l00956"></a><span class="lineno">  956</span>&#160;            std::forward&lt;Divider&gt;(divide_op), std::forward&lt;Solver&gt;(solve_op), </div><div class="line"><a name="l00957"></a><span class="lineno">  957</span>&#160;            std::forward&lt;Combiner&gt;(combine_op));</div><div class="line"><a name="l00958"></a><span class="lineno">  958</span>&#160;      }</div><div class="line"><a name="l00959"></a><span class="lineno">  959</span>&#160;<span class="preprocessor">      #pragma omp taskwait</span></div><div class="line"><a name="l00960"></a><span class="lineno">  960</span>&#160;    }</div><div class="line"><a name="l00961"></a><span class="lineno">  961</span>&#160;  }</div><div class="line"><a name="l00962"></a><span class="lineno">  962</span>&#160;  <span class="keywordflow">return</span> seq.reduce(partials.begin(), partials.size(), </div><div class="line"><a name="l00963"></a><span class="lineno">  963</span>&#160;      std::forward&lt;subresult_type&gt;(subresult), combine_op);</div><div class="line"><a name="l00964"></a><span class="lineno">  964</span>&#160;}</div><div class="line"><a name="l00965"></a><span class="lineno">  965</span>&#160;</div><div class="line"><a name="l00966"></a><span class="lineno">  966</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Consumer,</div><div class="line"><a name="l00967"></a><span class="lineno">  967</span>&#160;          <a class="code" href="namespacegrppi.html#aefc4ab6149586d62bcb16b97bcefdd0a">requires_no_pattern&lt;Consumer&gt;</a>&gt;</div><div class="line"><a name="l00968"></a><span class="lineno">  968</span>&#160;<span class="keywordtype">void</span> parallel_execution_omp::do_pipeline(Queue &amp; input_queue, Consumer &amp;&amp; consume_op)<span class="keyword"> const</span></div><div class="line"><a name="l00969"></a><span class="lineno">  969</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00970"></a><span class="lineno">  970</span>&#160;  <span class="keyword">using namespace </span><a class="code" href="namespacestd.html">std</a>;</div><div class="line"><a name="l00971"></a><span class="lineno">  971</span>&#160;  <span class="keyword">using</span> gen_value_type = <span class="keyword">typename</span> Queue::value_type;</div><div class="line"><a name="l00972"></a><span class="lineno">  972</span>&#160;</div><div class="line"><a name="l00973"></a><span class="lineno">  973</span>&#160;  <span class="keywordflow">if</span> (!<a class="code" href="classgrppi_1_1parallel__execution__omp.html#a56aa718f05d304ab46d1262f374fa934">is_ordered</a>()) {</div><div class="line"><a name="l00974"></a><span class="lineno">  974</span>&#160;    <span class="keywordflow">for</span> (;;) {</div><div class="line"><a name="l00975"></a><span class="lineno">  975</span>&#160;      <span class="keyword">auto</span> item = input_queue.pop();</div><div class="line"><a name="l00976"></a><span class="lineno">  976</span>&#160;      <span class="keywordflow">if</span> (!item.first) <span class="keywordflow">break</span>;</div><div class="line"><a name="l00977"></a><span class="lineno">  977</span>&#160;      consume_op(*item.first);</div><div class="line"><a name="l00978"></a><span class="lineno">  978</span>&#160;    }</div><div class="line"><a name="l00979"></a><span class="lineno">  979</span>&#160;    <span class="keywordflow">return</span>;</div><div class="line"><a name="l00980"></a><span class="lineno">  980</span>&#160;  }</div><div class="line"><a name="l00981"></a><span class="lineno">  981</span>&#160;</div><div class="line"><a name="l00982"></a><span class="lineno">  982</span>&#160;  vector&lt;gen_value_type&gt; elements;</div><div class="line"><a name="l00983"></a><span class="lineno">  983</span>&#160;  <span class="keywordtype">long</span> current = 0;</div><div class="line"><a name="l00984"></a><span class="lineno">  984</span>&#160;  <span class="keyword">auto</span> item = input_queue.pop( );</div><div class="line"><a name="l00985"></a><span class="lineno">  985</span>&#160;  <span class="keywordflow">while</span> (item.first) {</div><div class="line"><a name="l00986"></a><span class="lineno">  986</span>&#160;    <span class="keywordflow">if</span> (current == item.second) {</div><div class="line"><a name="l00987"></a><span class="lineno">  987</span>&#160;      consume_op(*item.first);</div><div class="line"><a name="l00988"></a><span class="lineno">  988</span>&#160;      current ++;</div><div class="line"><a name="l00989"></a><span class="lineno">  989</span>&#160;    } </div><div class="line"><a name="l00990"></a><span class="lineno">  990</span>&#160;    <span class="keywordflow">else</span> {</div><div class="line"><a name="l00991"></a><span class="lineno">  991</span>&#160;      elements.push_back(item);</div><div class="line"><a name="l00992"></a><span class="lineno">  992</span>&#160;    }</div><div class="line"><a name="l00993"></a><span class="lineno">  993</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">auto</span> it=elements.begin(); it!=elements.end(); it++) {</div><div class="line"><a name="l00994"></a><span class="lineno">  994</span>&#160;      <span class="keywordflow">if</span> (it-&gt;second == current) {</div><div class="line"><a name="l00995"></a><span class="lineno">  995</span>&#160;        consume_op(*it-&gt;first);</div><div class="line"><a name="l00996"></a><span class="lineno">  996</span>&#160;        elements.erase(it);</div><div class="line"><a name="l00997"></a><span class="lineno">  997</span>&#160;        current++;</div><div class="line"><a name="l00998"></a><span class="lineno">  998</span>&#160;        <span class="keywordflow">break</span>;</div><div class="line"><a name="l00999"></a><span class="lineno">  999</span>&#160;      }</div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>&#160;    }</div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>&#160;    item = input_queue.pop( );</div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>&#160;  }</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>&#160;  <span class="keywordflow">while</span>(elements.size()&gt;0){</div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>&#160;    <span class="keywordflow">for</span>(<span class="keyword">auto</span> it = elements.begin(); it != elements.end(); it++){</div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>&#160;      <span class="keywordflow">if</span>(it-&gt;second == current) {</div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>&#160;        consume_op(*it-&gt;first);</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>&#160;        elements.erase(it);</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160;        current++;</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160;        <span class="keywordflow">break</span>;</div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>&#160;      }</div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>&#160;    }</div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>&#160;  }</div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>&#160;}</div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>&#160;</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>&#160;</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Inqueue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> output_type,</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>&#160;            <a class="code" href="namespacegrppi.html#aefc4ab6149586d62bcb16b97bcefdd0a">requires_no_pattern&lt;Transformer&gt;</a>&gt;</div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>&#160;<span class="keywordtype">void</span> parallel_execution_omp::do_pipeline(Inqueue &amp; input_queue, Transformer &amp;&amp; transform_op,</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>&#160;      <a class="code" href="classgrppi_1_1mpmc__queue.html">mpmc_queue&lt;output_type&gt;</a> &amp; output_queue)<span class="keyword"> const</span></div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>&#160;  <span class="keyword">using namespace </span><a class="code" href="namespacestd.html">std</a>;</div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>&#160;  <span class="keyword">using namespace </span>experimental;</div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>&#160;</div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>&#160;  <span class="keyword">using</span> input_item_type = <span class="keyword">typename</span> Inqueue::value_type;</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>&#160;  <span class="keyword">using</span> input_item_value_type = <span class="keyword">typename</span> input_item_type::first_type::value_type;</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>&#160;</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>&#160;  <span class="keyword">using</span> output_optional_type = <span class="keyword">typename</span> output_type::first_type;</div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>&#160;  <span class="keyword">using</span> output_item_value_type = <span class="keyword">typename</span> output_type::first_type::value_type;</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>&#160;  <span class="keywordflow">for</span> (;;) {</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>&#160;    <span class="keyword">auto</span> item{input_queue.pop()}; </div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>&#160;    <span class="keywordflow">if</span>(!item.first) <span class="keywordflow">break</span>;</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>&#160;    <span class="keyword">auto</span> out = output_item_value_type{transform_op(*item.first)};</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>&#160;    output_queue.<a class="code" href="classgrppi_1_1mpmc__queue.html#aa18eda40dec95f4c568f5f40775e8e19">push</a>(make_pair(out,item.second)) ;</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>&#160;  }</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>&#160;}</div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160;</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160;</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Execution, <span class="keyword">typename</span> Transformer,</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span>, <span class="keyword">typename</span>&gt; <span class="keyword">class </span>Context,</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160;          <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>&#160;          <a class="code" href="namespacegrppi.html#ad4b58959f8008485515060fe1a37fb21">requires_context&lt;Context&lt;Execution,Transformer&gt;</a>&gt;&gt;</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160;<span class="keywordtype">void</span> parallel_execution_omp::do_pipeline(Queue &amp; input_queue,</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160;    Context&lt;Execution,Transformer&gt; &amp;&amp; context_op,</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160;    OtherTransformers &amp;&amp;... other_ops)<span class="keyword"> const</span></div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>&#160;  <span class="keyword">using namespace </span><a class="code" href="namespacestd.html">std</a>;</div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>&#160;  <span class="keyword">using namespace </span>experimental;</div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>&#160;</div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>&#160;  <span class="keyword">using</span> input_item_type = <span class="keyword">typename</span> Queue::value_type;</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160;  <span class="keyword">using</span> input_item_value_type = <span class="keyword">typename</span> input_item_type::first_type::value_type;</div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>&#160;</div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>&#160;  <span class="keyword">using</span> output_type = <span class="keyword">typename</span> <a class="code" href="structgrppi_1_1stage__return__type.html#a6b47b45a7d7664ac97fee040c220eea2">stage_return_type&lt;input_item_value_type, Transformer&gt;::type</a>;</div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>&#160;  <span class="keyword">using</span> output_optional_type = experimental::optional&lt;output_type&gt;;</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>&#160;  <span class="keyword">using</span> output_item_type = pair &lt;output_optional_type, long&gt; ;</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>&#160;</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>&#160;  decltype(<span class="keyword">auto</span>) output_queue =</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>&#160;    get_output_queue&lt;output_item_type&gt;(other_ops...);</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>&#160;  </div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>&#160;<span class="preprocessor">  #pragma omp task shared(input_queue,context_op,output_queue)</span></div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>&#160;  {</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>&#160;    context_op.execution_policy().pipeline(input_queue, context_op.transformer(), output_queue);</div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>&#160;    output_queue.<a class="code" href="classgrppi_1_1mpmc__queue.html#aa18eda40dec95f4c568f5f40775e8e19">push</a>(make_pair(output_optional_type{},-1));</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>&#160;  }</div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>&#160;</div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>&#160;  do_pipeline(output_queue,</div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>&#160;      forward&lt;OtherTransformers&gt;(other_ops)... );</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>&#160;<span class="preprocessor">  #pragma omp taskwait</span></div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>&#160;}</div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>&#160;</div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>&#160;          <a class="code" href="namespacegrppi.html#aefc4ab6149586d62bcb16b97bcefdd0a">requires_no_pattern&lt;Transformer&gt;</a>&gt;</div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>&#160;<span class="keywordtype">void</span> parallel_execution_omp::do_pipeline(</div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>&#160;    Queue &amp; input_queue, </div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>&#160;    Transformer &amp;&amp; transform_op,</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>&#160;    OtherTransformers &amp;&amp; ... other_ops)<span class="keyword"> const</span></div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>&#160;  <span class="keyword">using namespace </span><a class="code" href="namespacestd.html">std</a>;</div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>&#160;  <span class="keyword">using</span> gen_value_type = <span class="keyword">typename</span> Queue::value_type;</div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>&#160;  <span class="keyword">using</span> input_value_type = <span class="keyword">typename</span> gen_value_type::first_type::value_type;</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>&#160;  <span class="keyword">using</span> <a class="code" href="namespacegrppi.html#a64dd705d0f32b64d20dba8d5b9cebbbe">result_type</a> = <span class="keyword">typename</span> result_of&lt;Transformer(input_value_type)&gt;::type;</div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>&#160;  <span class="keyword">using</span> <a class="code" href="namespacegrppi.html#a2c33363c4c49ab510560a0b880d52bfc">output_value_type</a> = experimental::optional&lt;result_type&gt;;</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>&#160;  <span class="keyword">using</span> output_type = pair&lt;output_value_type,long&gt;;</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>&#160;</div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>&#160;  decltype(<span class="keyword">auto</span>) output_queue =</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>&#160;    get_output_queue&lt;output_type&gt;(other_ops...);</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>&#160;</div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>&#160;<span class="preprocessor">  #pragma omp task shared(transform_op, input_queue, output_queue)</span></div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>&#160;  {</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>&#160;    <span class="keywordflow">for</span> (;;) {</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>&#160;      <span class="keyword">auto</span> item = input_queue.pop(); </div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>&#160;      <span class="keywordflow">if</span> (!item.first) <span class="keywordflow">break</span>;</div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>&#160;      <span class="keyword">auto</span> out = <a class="code" href="namespacegrppi.html#a2c33363c4c49ab510560a0b880d52bfc">output_value_type</a>{transform_op(*item.first)};</div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>&#160;      output_queue.<a class="code" href="classgrppi_1_1mpmc__queue.html#aa18eda40dec95f4c568f5f40775e8e19">push</a>(make_pair(out, item.second));</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>&#160;    }</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>&#160;    output_queue.<a class="code" href="classgrppi_1_1mpmc__queue.html#aa18eda40dec95f4c568f5f40775e8e19">push</a>(make_pair(<a class="code" href="namespacegrppi.html#a2c33363c4c49ab510560a0b880d52bfc">output_value_type</a>{}, -1));</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>&#160;  }</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>&#160;</div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>&#160;  do_pipeline(output_queue, </div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>&#160;      forward&lt;OtherTransformers&gt;(other_ops)...);</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>&#160;}</div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>&#160;</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> FarmTransformer,</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Farm,</div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>&#160;          <a class="code" href="namespacegrppi.html#a43af869a5c133642518967b6284525af">requires_farm&lt;Farm&lt;FarmTransformer&gt;</a>&gt;&gt;</div><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>&#160;<span class="keywordtype">void</span> parallel_execution_omp::do_pipeline(</div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>&#160;    Queue &amp; input_queue, </div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>&#160;    Farm&lt;FarmTransformer&gt; &amp;&amp; farm_obj)<span class="keyword"> const</span></div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>&#160;  <span class="keyword">using namespace </span><a class="code" href="namespacestd.html">std</a>;</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>&#160;  <span class="keyword">using namespace </span>experimental;</div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>&#160;  <span class="keyword">using</span> gen_value_type = <span class="keyword">typename</span> Queue::value_type;</div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>&#160;  <span class="keyword">using</span> input_value_type = <span class="keyword">typename</span> gen_value_type::first_type::value_type;</div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>&#160; </div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i=0; i&lt;farm_obj.cardinality(); ++i) {</div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>&#160;<span class="preprocessor">    #pragma omp task shared(farm_obj,input_queue)</span></div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>&#160;    {</div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>&#160;      <span class="keyword">auto</span> item = input_queue.pop();</div><div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>&#160;      <span class="keywordflow">while</span> (item.first) {</div><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>&#160;        farm_obj(*item.first);</div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>&#160;        item = input_queue.pop();</div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>&#160;      }</div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>&#160;      input_queue.push(item);</div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>&#160;    }              </div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>&#160;  }</div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>&#160;<span class="preprocessor">  #pragma omp taskwait</span></div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>&#160;}</div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>&#160;</div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> FarmTransformer, </div><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Farm,</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>&#160;          <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>&#160;          <a class="code" href="namespacegrppi.html#a43af869a5c133642518967b6284525af">requires_farm&lt;Farm&lt;FarmTransformer&gt;</a>&gt;&gt;</div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>&#160;<span class="keywordtype">void</span> parallel_execution_omp::do_pipeline(</div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>&#160;    Queue &amp; input_queue, </div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>&#160;    Farm&lt;FarmTransformer&gt; &amp;&amp; farm_obj,</div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>&#160;    OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>&#160;  <span class="keyword">using namespace </span><a class="code" href="namespacestd.html">std</a>;</div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>&#160;  <span class="keyword">using namespace </span>experimental;</div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>&#160;  <span class="keyword">using</span> gen_value_type = <span class="keyword">typename</span> Queue::value_type;</div><div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>&#160;  <span class="keyword">using</span> input_value_type = <span class="keyword">typename</span> gen_value_type::first_type::value_type;</div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>&#160;</div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>&#160;  <span class="keyword">using</span> <a class="code" href="namespacegrppi.html#a64dd705d0f32b64d20dba8d5b9cebbbe">result_type</a> = <span class="keyword">typename</span> <a class="code" href="structgrppi_1_1stage__return__type.html#a6b47b45a7d7664ac97fee040c220eea2">stage_return_type&lt;input_value_type, FarmTransformer&gt;::type</a>;</div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>&#160;  <span class="keyword">using</span> output_optional_type = optional&lt;result_type&gt;;</div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>&#160;  <span class="keyword">using</span> output_type = pair&lt;output_optional_type,long&gt;;</div><div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>&#160; </div><div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>&#160;  decltype(<span class="keyword">auto</span>) output_queue =</div><div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>&#160;    get_output_queue&lt;output_type&gt;(other_transform_ops...);</div><div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>&#160;</div><div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>&#160;<span class="comment">//  auto output_queue = make_queue&lt;output_type&gt;();</span></div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>&#160;</div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>&#160;  atomic&lt;int&gt; done_threads{0};</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>&#160;  <span class="keywordtype">int</span> ntask = farm_obj.cardinality();</div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i=0; i&lt;farm_obj.cardinality(); ++i) {</div><div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>&#160;<span class="preprocessor">    #pragma omp task shared(done_threads,output_queue,farm_obj,input_queue,ntask)</span></div><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>&#160;    {</div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>&#160;      do_pipeline(input_queue, farm_obj.transformer(), output_queue);</div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>&#160;      done_threads++;</div><div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>&#160;      <span class="keywordflow">if</span> (done_threads == ntask){</div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>&#160;        output_queue.<a class="code" href="classgrppi_1_1mpmc__queue.html#aa18eda40dec95f4c568f5f40775e8e19">push</a>(make_pair(output_optional_type{}, -1));</div><div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>&#160;      }<span class="keywordflow">else</span>{</div><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>&#160;        input_queue.push(gen_value_type{});</div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>&#160;      }</div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>&#160;    }              </div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>&#160;  }</div><div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>&#160;  do_pipeline(output_queue, forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>&#160;<span class="preprocessor">  #pragma omp taskwait</span></div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>&#160;}</div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>&#160;</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>&#160;</div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Predicate,</div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Filter,</div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>&#160;          <a class="code" href="namespacegrppi.html#a14435182a5c6532b429e9e8f09e2da37">requires_filter&lt;Filter&lt;Predicate&gt;</a>&gt;&gt;</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>&#160;<span class="keywordtype">void</span> parallel_execution_omp::do_pipeline(</div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>&#160;    Queue &amp; input_queue, </div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>&#160;    Filter&lt;Predicate&gt; &amp;&amp; filter_obj)<span class="keyword"> const</span></div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>&#160;}</div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>&#160;</div><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Predicate, </div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span>&gt; <span class="keyword">class </span>Filter,</div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>&#160;          <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>&#160;          <a class="code" href="namespacegrppi.html#a14435182a5c6532b429e9e8f09e2da37">requires_filter&lt;Filter&lt;Predicate&gt;</a>&gt;&gt;</div><div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>&#160;<span class="keywordtype">void</span> parallel_execution_omp::do_pipeline(</div><div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>&#160;    Queue &amp; input_queue, </div><div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>&#160;    Filter&lt;Predicate&gt; &amp;&amp; filter_obj,</div><div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>&#160;    OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>&#160;  <span class="keyword">using namespace </span><a class="code" href="namespacestd.html">std</a>;</div><div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>&#160;  <span class="keyword">using</span> gen_value_type = <span class="keyword">typename</span> Queue::value_type;</div><div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>&#160;  <span class="keyword">using</span> input_value_type = <span class="keyword">typename</span> gen_value_type::first_type;</div><div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>&#160;  <span class="keyword">auto</span> filter_queue = make_queue&lt;gen_value_type&gt;();</div><div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>&#160;</div><div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>&#160;  <span class="keywordflow">if</span> (<a class="code" href="classgrppi_1_1parallel__execution__omp.html#a56aa718f05d304ab46d1262f374fa934">is_ordered</a>()) {</div><div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>&#160;    <span class="keyword">auto</span> filter_task = [&amp;]() {</div><div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>&#160;      {</div><div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>&#160;        <span class="keyword">auto</span> item{input_queue.pop()};</div><div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>&#160;        <span class="keywordflow">while</span> (item.first) {</div><div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>&#160;          <span class="keywordflow">if</span>(filter_obj(*item.first)) {</div><div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>&#160;            filter_queue.push(item);</div><div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>&#160;          }</div><div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>&#160;          <span class="keywordflow">else</span> {</div><div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>&#160; 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     get_output_queue&lt;gen_value_type&gt;(other_transform_ops...);</div><div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>&#160;</div><div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>&#160;</div><div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>&#160;    <span class="keyword">auto</span> reorder_task = [&amp;]() {</div><div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>&#160;      vector&lt;gen_value_type&gt; elements;</div><div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>&#160;      <span class="keywordtype">int</span> current = 0;</div><div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>&#160;      <span class="keywordtype">long</span> order = 0;</div><div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>&#160;      <span class="keyword">auto</span> item = filter_queue.pop();</div><div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>&#160; 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       }</div><div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>&#160;        <span class="keywordflow">else</span> {</div><div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>&#160;          elements.push_back(item);</div><div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>&#160;        }</div><div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>&#160;        <span class="keywordflow">for</span> (<span class="keyword">auto</span> it=elements.begin(); it&lt;elements.end(); it++) {</div><div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>&#160;          <span class="keywordflow">if</span> ((*it).second==current) {</div><div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>&#160;            <span class="keywordflow">if</span>((*it).first){</div><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>&#160;              output_queue.<a class="code" href="classgrppi_1_1mpmc__queue.html#aa18eda40dec95f4c568f5f40775e8e19">push</a>(make_pair((*it).first,order++));</div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>&#160;            }</div><div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>&#160;            elements.erase(it);</div><div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>&#160;            current++;</div><div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>&#160;            <span class="keywordflow">break</span>;</div><div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>&#160;          }</div><div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>&#160;        }</div><div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>&#160;        item = filter_queue.pop();</div><div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>&#160;      }</div><div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>&#160;</div><div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>&#160;      <span class="keywordflow">while</span> (elements.size()&gt;0) {</div><div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>&#160;        <span class="keywordflow">for</span> (<span class="keyword">auto</span> it=elements.begin(); it&lt;elements.end(); it++) {</div><div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>&#160;          <span class="keywordflow">if</span> ((*it).second == current) {</div><div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>&#160;            <span class="keywordflow">if</span>((*it).first) {</div><div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>&#160;              output_queue.<a class="code" href="classgrppi_1_1mpmc__queue.html#aa18eda40dec95f4c568f5f40775e8e19">push</a>(make_pair((*it).first,order++));</div><div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>&#160;            }</div><div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>&#160;            elements.erase(it);</div><div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>&#160;            current++;</div><div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>&#160;            <span class="keywordflow">break</span>;</div><div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>&#160;          }</div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>&#160;        }</div><div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>&#160;      }</div><div class="line"><a name="l01255"></a><span class="lineno"> 1255</span>&#160;</div><div class="line"><a name="l01256"></a><span class="lineno"> 1256</span>&#160;      output_queue.<a class="code" href="classgrppi_1_1mpmc__queue.html#aa18eda40dec95f4c568f5f40775e8e19">push</a>(item);</div><div class="line"><a name="l01257"></a><span class="lineno"> 1257</span>&#160;    };</div><div class="line"><a name="l01258"></a><span class="lineno"> 1258</span>&#160;</div><div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>&#160;    </div><div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>&#160;<span class="preprocessor">    #pragma omp task shared(filter_queue,filter_obj,input_queue)</span></div><div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>&#160;    {</div><div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>&#160;      filter_task();</div><div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>&#160;    }</div><div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>&#160;    </div><div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>&#160;<span class="preprocessor">    #pragma omp task shared (output_queue,filter_queue)</span></div><div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>&#160;    {</div><div class="line"><a name="l01267"></a><span class="lineno"> 1267</span>&#160;      reorder_task();</div><div class="line"><a name="l01268"></a><span class="lineno"> 1268</span>&#160;    }</div><div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>&#160;</div><div class="line"><a name="l01270"></a><span class="lineno"> 1270</span>&#160;    do_pipeline(output_queue, </div><div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>&#160;        forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div><div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>&#160;</div><div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>&#160;<span class="preprocessor">    #pragma omp taskwait</span></div><div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>&#160;  }</div><div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>&#160;  <span class="keywordflow">else</span> {</div><div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>&#160;    <span class="keyword">auto</span> filter_task = [&amp;]() {</div><div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>&#160;      <span class="keyword">auto</span> item = input_queue.pop( ) ;</div><div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>&#160;      <span class="keywordflow">while</span> (item.first) {</div><div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>&#160;        <span class="keywordflow">if</span> (filter_obj(*item.first)) {</div><div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>&#160;          filter_queue.push(item);</div><div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>&#160;        }</div><div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>&#160;        item = input_queue.pop();</div><div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>&#160;      }</div><div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>&#160;      filter_queue.push(make_pair(input_value_type{}, -1));</div><div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>&#160;    };</div><div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>&#160;</div><div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>&#160;<span class="preprocessor">    #pragma omp task shared(filter_queue,filter_obj,input_queue)</span></div><div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>&#160;    {</div><div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>&#160;      filter_task();</div><div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>&#160;    }</div><div class="line"><a name="l01291"></a><span class="lineno"> 1291</span>&#160;    do_pipeline(filter_queue, </div><div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>&#160;      std::forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div><div class="line"><a name="l01293"></a><span class="lineno"> 1293</span>&#160;<span class="preprocessor">    #pragma omp taskwait</span></div><div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>&#160;  }</div><div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>&#160;}</div><div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>&#160;</div><div class="line"><a name="l01297"></a><span class="lineno"> 1297</span>&#160;</div><div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Combiner, <span class="keyword">typename</span> Identity,</div><div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span> C, <span class="keyword">typename</span> I&gt; <span class="keyword">class </span>Reduce,</div><div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>&#160;          <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>&#160;          <a class="code" href="namespacegrppi.html#a4f2ec5252b5fe6ed39a5a3c501b70732">requires_reduce&lt;Reduce&lt;Combiner,Identity&gt;</a>&gt;&gt;</div><div class="line"><a name="l01302"></a><span class="lineno"> 1302</span>&#160;<span class="keywordtype">void</span> parallel_execution_omp::do_pipeline(</div><div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>&#160;    Queue &amp;&amp; input_queue, </div><div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>&#160;    Reduce&lt;Combiner,Identity&gt; &amp;&amp; reduce_obj,</div><div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>&#160;    OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div><div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>&#160;  <span class="keyword">using namespace </span><a class="code" href="namespacestd.html">std</a>;</div><div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>&#160;  <span class="keyword">using namespace </span>experimental;</div><div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>&#160;</div><div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>&#160;  <span class="keyword">using</span> input_item_type = <span class="keyword">typename</span> decay_t&lt;Queue&gt;::value_type;</div><div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>&#160;  <span class="keyword">using</span> input_item_value_type = <span class="keyword">typename</span> input_item_type::first_type::value_type;</div><div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>&#160;  <span class="keyword">using</span> output_item_value_type = optional&lt;decay_t&lt;Identity&gt;&gt;;</div><div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>&#160;  <span class="keyword">using</span> output_item_type = pair&lt;output_item_value_type,long&gt;;</div><div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>&#160;  </div><div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>&#160;  decltype(<span class="keyword">auto</span>) output_queue =</div><div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>&#160;    get_output_queue&lt;output_item_type&gt;(other_transform_ops...);</div><div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>&#160;</div><div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>&#160;  <span class="keyword">auto</span> reduce_task = [&amp;,<span class="keyword">this</span>]() {</div><div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>&#160;    <span class="keyword">auto</span> item{input_queue.pop()};</div><div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>&#160;    <span class="keywordtype">int</span> order = 0;</div><div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>&#160;    <span class="keywordflow">while</span> (item.first) {</div><div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>&#160;      reduce_obj.add_item(std::forward&lt;Identity&gt;(*item.first));</div><div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>&#160;      item = input_queue.pop();</div><div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>&#160;      <span class="keywordflow">if</span> (reduce_obj.reduction_needed()) {</div><div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>&#160;        constexpr <a class="code" href="classgrppi_1_1sequential__execution.html">sequential_execution</a> seq;</div><div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>&#160;        <span class="keyword">auto</span> red = reduce_obj.reduce_window(seq);</div><div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>&#160;        output_queue.<a class="code" href="classgrppi_1_1mpmc__queue.html#aa18eda40dec95f4c568f5f40775e8e19">push</a>(make_pair(red, order++));</div><div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>&#160;      }</div><div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>&#160;    }</div><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>&#160;    output_queue.<a class="code" href="classgrppi_1_1mpmc__queue.html#aa18eda40dec95f4c568f5f40775e8e19">push</a>(make_pair(output_item_value_type{}, -1));</div><div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>&#160;  };</div><div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>&#160;</div><div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>&#160;<span class="preprocessor">  #pragma omp task shared(reduce_obj,input_queue, output_queue)</span></div><div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>&#160;  {</div><div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>&#160;    reduce_task();</div><div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>&#160;  }</div><div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>&#160;  do_pipeline(output_queue, </div><div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>&#160;      std::forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div><div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>&#160;<span class="preprocessor">  #pragma omp taskwait</span></div><div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>&#160;}</div><div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>&#160;</div><div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Predicate,</div><div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> P&gt; <span class="keyword">class </span>Iteration,</div><div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>&#160;          <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>&#160;          <a class="code" href="namespacegrppi.html#a9b2e3d6c560a1b30144d31c6dd7e568e">requires_iteration&lt;Iteration&lt;Transformer,Predicate&gt;</a>&gt;,</div><div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>&#160;          <a class="code" href="namespacegrppi.html#aefc4ab6149586d62bcb16b97bcefdd0a">requires_no_pattern&lt;Transformer&gt;</a>&gt;</div><div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>&#160;<span class="keywordtype">void</span> parallel_execution_omp::do_pipeline(</div><div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>&#160;    Queue &amp; input_queue, </div><div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>&#160;    Iteration&lt;Transformer,Predicate&gt; &amp;&amp; iteration_obj,</div><div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>&#160;    OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div><div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>&#160;  <span class="keyword">using namespace </span><a class="code" href="namespacestd.html">std</a>;</div><div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>&#160;  <span class="keyword">using namespace </span>experimental;</div><div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>&#160;</div><div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>&#160;  <span class="keyword">using</span> input_item_type = <span class="keyword">typename</span> decay_t&lt;Queue&gt;::value_type;</div><div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>&#160;  <span class="keyword">using</span> input_item_value_type = <span class="keyword">typename</span> input_item_type::first_type::value_type;</div><div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>&#160;  decltype(<span class="keyword">auto</span>) output_queue =</div><div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>&#160;    get_output_queue&lt;input_item_type&gt;(other_transform_ops...);</div><div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>&#160;</div><div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>&#160;</div><div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>&#160;  <span class="keyword">auto</span> iteration_task = [&amp;]() {</div><div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>&#160;    <span class="keywordflow">for</span> (;;) {</div><div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>&#160;      <span class="keyword">auto</span> item = input_queue.pop();</div><div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>&#160;      <span class="keywordflow">if</span> (!item.first) <span class="keywordflow">break</span>;</div><div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>&#160;      std::cerr &lt;&lt; <span class="stringliteral">&quot;Processing: &lt;&quot;</span> &lt;&lt; *item.first &lt;&lt; <span class="stringliteral">&quot; , &quot;</span> &lt;&lt; item.second &lt;&lt; <span class="stringliteral">&quot;&gt;\n&quot;</span>;</div><div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>&#160;      <span class="keyword">auto</span> value = iteration_obj.transform(*item.first);</div><div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>&#160;      <span class="keyword">auto</span> new_item = input_item_type{value,item.second};</div><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>&#160;      <span class="keywordflow">if</span> (iteration_obj.predicate(value)) {</div><div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>&#160;        std::cerr &lt;&lt; <span class="stringliteral">&quot;Sending to output&quot;</span></div><div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>&#160;            &lt;&lt; *new_item.first &lt;&lt; <span class="stringliteral">&quot; , &quot;</span> &lt;&lt; new_item.second &lt;&lt; <span class="stringliteral">&quot;&gt;\n&quot;</span>;</div><div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>&#160;        output_queue.<a class="code" href="classgrppi_1_1mpmc__queue.html#aa18eda40dec95f4c568f5f40775e8e19">push</a>(new_item);</div><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>&#160;      }</div><div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>&#160;      <span class="keywordflow">else</span> {</div><div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>&#160;        std::cerr &lt;&lt; <span class="stringliteral">&quot;Sending to input&quot;</span></div><div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>&#160;            &lt;&lt; *new_item.first &lt;&lt; <span class="stringliteral">&quot; , &quot;</span> &lt;&lt; new_item.second &lt;&lt; <span class="stringliteral">&quot;&gt;\n&quot;</span>;</div><div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>&#160;        input_queue.push(new_item);</div><div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>&#160;      }</div><div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>&#160;    }</div><div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>&#160;    <span class="keywordflow">while</span> (!input_queue.is_empty()) {</div><div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>&#160;      <span class="keyword">auto</span> item = input_queue.pop();</div><div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>&#160;      std::cerr &lt;&lt; <span class="stringliteral">&quot;Processing: &lt;&quot;</span> &lt;&lt; *item.first &lt;&lt; <span class="stringliteral">&quot; , &quot;</span> &lt;&lt; item.second &lt;&lt; <span class="stringliteral">&quot;&gt;\n&quot;</span>;</div><div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>&#160;      <span class="keyword">auto</span> value = iteration_obj.transform(*item.first);</div><div class="line"><a name="l01383"></a><span class="lineno"> 1383</span>&#160;      <span class="keyword">auto</span> new_item = input_item_type{value,item.second};</div><div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>&#160;      <span class="keywordflow">if</span> (iteration_obj.predicate(value)) {</div><div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>&#160;        output_queue.<a class="code" href="classgrppi_1_1mpmc__queue.html#aa18eda40dec95f4c568f5f40775e8e19">push</a>(new_item);</div><div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>&#160;      }</div><div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>&#160;      <span class="keywordflow">else</span> {</div><div class="line"><a name="l01388"></a><span class="lineno"> 1388</span>&#160;        input_queue.push(new_item);</div><div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>&#160;      }</div><div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>&#160;    }</div><div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>&#160;    output_queue.<a class="code" href="classgrppi_1_1mpmc__queue.html#aa18eda40dec95f4c568f5f40775e8e19">push</a>(input_item_type{{},-1});</div><div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>&#160;  };</div><div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>&#160;</div><div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>&#160;<span class="preprocessor">  #pragma omp task shared(iteration_obj,input_queue,output_queue)</span></div><div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>&#160;  {</div><div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>&#160;    iteration_task();</div><div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>&#160;  }</div><div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>&#160;  do_pipeline(output_queue, </div><div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>&#160;      std::forward&lt;OtherTransformers&gt;(other_transform_ops)...);</div><div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>&#160;<span class="preprocessor">  #pragma omp taskwait</span></div><div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>&#160;</div><div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>&#160;}</div><div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>&#160;</div><div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Predicate,</div><div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> P&gt; <span class="keyword">class </span>Iteration,</div><div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>&#160;          <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>&#160;          requires_iteration&lt;Iteration&lt;Transformer,Predicate&gt;&gt;,</div><div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>&#160;          <a class="code" href="namespacegrppi.html#a1c6e71cb617cee8d3216b1710891a349">requires_pipeline&lt;Transformer&gt;</a>&gt;</div><div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>&#160;<span class="keywordtype">void</span> parallel_execution_omp::do_pipeline(</div><div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>&#160;    Queue &amp; input_queue, </div><div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>&#160;    Iteration&lt;Transformer,Predicate&gt; &amp;&amp; iteration_obj,</div><div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>&#160;    OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div><div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>&#160;  static_assert(!is_pipeline&lt;Transformer&gt;, <span class="stringliteral">&quot;Not implemented&quot;</span>);</div><div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>&#160;}</div><div class="line"><a name="l01416"></a><span class="lineno"> 1416</span>&#160;</div><div class="line"><a name="l01417"></a><span class="lineno"> 1417</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> ... Transformers,</div><div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>&#160;          <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt; <span class="keyword">class </span>Pipeline,</div><div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>&#160;          <span class="keyword">typename</span> ... OtherTransformers,</div><div class="line"><a name="l01420"></a><span class="lineno"> 1420</span>&#160;          <a class="code" href="namespacegrppi.html#a1c6e71cb617cee8d3216b1710891a349">requires_pipeline</a>&lt;Pipeline&lt;Transformers...&gt;&gt;&gt;</div><div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>&#160;<span class="keywordtype">void</span> parallel_execution_omp::do_pipeline(</div><div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>&#160;    Queue &amp; input_queue,</div><div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>&#160;    Pipeline&lt;Transformers...&gt; &amp;&amp; pipeline_obj,</div><div class="line"><a name="l01424"></a><span class="lineno"> 1424</span>&#160;    OtherTransformers &amp;&amp; ... other_transform_ops)<span class="keyword"> const</span></div><div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l01426"></a><span class="lineno"> 1426</span>&#160;  do_pipeline_nested(</div><div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>&#160;      input_queue,</div><div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>&#160;      std::tuple_cat(pipeline_obj.transformers(), </div><div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>&#160;          std::forward_as_tuple(other_transform_ops...)),</div><div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>&#160;      std::make_index_sequence&lt;<span class="keyword">sizeof</span>...(Transformers)+<span class="keyword">sizeof</span>...(OtherTransformers)&gt;());</div><div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>&#160;}</div><div class="line"><a name="l01432"></a><span class="lineno"> 1432</span>&#160;</div><div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Queue, <span class="keyword">typename</span> ... Transformers,</div><div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>&#160;          std::size_t ... I&gt;</div><div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>&#160;<span class="keywordtype">void</span> parallel_execution_omp::do_pipeline_nested(</div><div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>&#160;    Queue &amp; input_queue, </div><div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>&#160;    std::tuple&lt;Transformers...&gt; &amp;&amp; transform_ops,</div><div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>&#160;    std::index_sequence&lt;I...&gt;)<span class="keyword"> const</span></div><div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>&#160;  do_pipeline(input_queue,</div><div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>&#160;      std::forward&lt;Transformers&gt;(std::get&lt;I&gt;(transform_ops))...);</div><div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>&#160;}</div><div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>&#160;</div><div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>&#160;</div><div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>&#160;} <span class="comment">// end namespace grppi</span></div><div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>&#160;</div><div class="line"><a name="l01447"></a><span class="lineno"> 1447</span>&#160;<span class="preprocessor">#else // GRPPI_OMP undefined</span></div><div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>&#160;</div><div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacegrppi.html">grppi</a> {</div><div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>&#160;</div><div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>&#160;</div><div class="line"><a name="l01454"></a><span class="lineno"> 1454</span>&#160;<span class="keyword">struct </span><a class="code" href="classgrppi_1_1parallel__execution__omp.html">parallel_execution_omp</a> {};</div><div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>&#160;</div><div class="line"><a name="l01461"></a><span class="lineno"> 1461</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> E&gt;</div><div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>&#160;constexpr <span class="keywordtype">bool</span> <a class="code" href="namespacegrppi.html#a684f5603ca6c249c2014e73ef5939ea1">is_parallel_execution_omp</a>() {</div><div class="line"><a name="l01463"></a><span class="lineno"> 1463</span>&#160;  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>&#160;}</div><div class="line"><a name="l01465"></a><span class="lineno"> 1465</span>&#160;</div><div class="line"><a name="l01466"></a><span class="lineno"> 1466</span>&#160;}</div><div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>&#160;</div><div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>&#160;<span class="preprocessor">#endif // GRPPI_OMP</span></div><div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>&#160;</div><div class="line"><a name="l01470"></a><span class="lineno"> 1470</span>&#160;<span class="preprocessor">#endif</span></div><div class="ttc" id="namespacegrppi_html"><div class="ttname"><a href="namespacegrppi.html">grppi</a></div><div class="ttdef"><b>Definition:</b> callable_traits.h:26</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_a7390b569784462e5b8dbaf9d285d1dfd"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#a7390b569784462e5b8dbaf9d285d1dfd">grppi::parallel_execution_omp::parallel_execution_omp</a></div><div class="ttdeci">parallel_execution_omp(int concurrency_degree, bool order=true) noexcept</div><div class="ttdoc">Set num_threads to _threads in order to run in parallel. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:72</div></div>
<div class="ttc" id="namespacegrppi_html_a4f2ec5252b5fe6ed39a5a3c501b70732"><div class="ttname"><a href="namespacegrppi.html#a4f2ec5252b5fe6ed39a5a3c501b70732">grppi::requires_reduce</a></div><div class="ttdeci">std::enable_if_t&lt; is_reduce&lt; T &gt;, int &gt; requires_reduce</div><div class="ttdef"><b>Definition:</b> reduce_pattern.h:135</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_a56aa718f05d304ab46d1262f374fa934"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#a56aa718f05d304ab46d1262f374fa934">grppi::parallel_execution_omp::is_ordered</a></div><div class="ttdeci">bool is_ordered() const noexcept</div><div class="ttdoc">Is execution ordered. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:107</div></div>
<div class="ttc" id="namespacegrppi_html_a9b2e3d6c560a1b30144d31c6dd7e568e"><div class="ttname"><a href="namespacegrppi.html#a9b2e3d6c560a1b30144d31c6dd7e568e">grppi::requires_iteration</a></div><div class="ttdeci">typename std::enable_if_t&lt; is_iteration&lt; T &gt;, int &gt; requires_iteration</div><div class="ttdef"><b>Definition:</b> iteration_pattern.h:88</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_a162dd5ad2f43ee408c429e0bfd57ba8c"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#a162dd5ad2f43ee408c429e0bfd57ba8c">grppi::parallel_execution_omp::disable_ordering</a></div><div class="ttdeci">void disable_ordering() noexcept</div><div class="ttdoc">Disable ordering. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:102</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_a5ea9694da13f8fd5110bd204cf5710a8"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#a5ea9694da13f8fd5110bd204cf5710a8">grppi::parallel_execution_omp::parallel_execution_omp</a></div><div class="ttdeci">parallel_execution_omp() noexcept</div><div class="ttdoc">Default construct an OpenMP parallel execution policy. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:56</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_a7213bf74afdb228323b3c368d50bb4fd"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#a7213bf74afdb228323b3c368d50bb4fd">grppi::parallel_execution_omp::get_thread_id</a></div><div class="ttdeci">int get_thread_id() const noexcept</div><div class="ttdoc">Get index of current thread in the thread table. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:156</div></div>
<div class="ttc" id="namespacegrppi_html_a3f58c4870491adbdbe7c3fca83981f2a"><div class="ttname"><a href="namespacegrppi.html#a3f58c4870491adbdbe7c3fca83981f2a">grppi::is_supported&lt; parallel_execution_omp &gt;</a></div><div class="ttdeci">constexpr bool is_supported&lt; parallel_execution_omp &gt;()</div><div class="ttdoc">Determines if an execution policy is supported in the current compilation. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:558</div></div>
<div class="ttc" id="namespacestd_html"><div class="ttname"><a href="namespacestd.html">std</a></div><div class="ttdoc">STL namespace. </div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_a7d3dc71f5d3c0137931d4525467259fa"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#a7d3dc71f5d3c0137931d4525467259fa">grppi::parallel_execution_omp::divide_conquer</a></div><div class="ttdeci">auto divide_conquer(Input &amp;&amp;input, Divider &amp;&amp;divide_op, Solver &amp;&amp;solve_op, Combiner &amp;&amp;combine_op) const </div><div class="ttdoc">Invoke Divide/conquer pattern. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:771</div></div>
<div class="ttc" id="namespacegrppi_html_ab39b26ce38bba1d96af530ebcd807693"><div class="ttname"><a href="namespacegrppi.html#ab39b26ce38bba1d96af530ebcd807693">grppi::iterators_next</a></div><div class="ttdeci">auto iterators_next(T &amp;&amp;t, int n)</div><div class="ttdoc">Computes next n steps from a tuple of iterators. </div><div class="ttdef"><b>Definition:</b> iterator.h:175</div></div>
<div class="ttc" id="namespacegrppi_html_ae2cebb801cfe8aeed12ff8d90c3b9dd0"><div class="ttname"><a href="namespacegrppi.html#ae2cebb801cfe8aeed12ff8d90c3b9dd0">grppi::apply_iterators_indexed</a></div><div class="ttdeci">decltype(auto) apply_iterators_indexed(F &amp;&amp;f, T &amp;&amp;t, std::size_t i)</div><div class="ttdoc">Applies a callable object to the values obtained from the iterators in a tuple by indexing...</div><div class="ttdef"><b>Definition:</b> iterator.h:147</div></div>
<div class="ttc" id="namespacegrppi_html_a684f5603ca6c249c2014e73ef5939ea1"><div class="ttname"><a href="namespacegrppi.html#a684f5603ca6c249c2014e73ef5939ea1">grppi::is_parallel_execution_omp</a></div><div class="ttdeci">constexpr bool is_parallel_execution_omp()</div><div class="ttdoc">Metafunction that determines if type E is parallel_execution_omp. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:549</div></div>
<div class="ttc" id="namespacegrppi_html_a2c33363c4c49ab510560a0b880d52bfc"><div class="ttname"><a href="namespacegrppi.html#a2c33363c4c49ab510560a0b880d52bfc">grppi::output_value_type</a></div><div class="ttdeci">typename internal::output_value_type&lt; I, T &gt;::type output_value_type</div><div class="ttdef"><b>Definition:</b> pipeline_pattern.h:132</div></div>
<div class="ttc" id="namespacegrppi_html_aa0514650a765d4853343655e7588662b"><div class="ttname"><a href="namespacegrppi.html#aa0514650a765d4853343655e7588662b">grppi::queue_mode</a></div><div class="ttdeci">queue_mode</div><div class="ttdef"><b>Definition:</b> mpmc_queue.h:35</div></div>
<div class="ttc" id="namespacegrppi_html_ac7140c4f9145857677bbb9d69d4ee996"><div class="ttname"><a href="namespacegrppi.html#ac7140c4f9145857677bbb9d69d4ee996">grppi::supports_map&lt; parallel_execution_omp &gt;</a></div><div class="ttdeci">constexpr bool supports_map&lt; parallel_execution_omp &gt;()</div><div class="ttdoc">Determines if an execution policy supports the map pattern. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:565</div></div>
<div class="ttc" id="classgrppi_1_1mpmc__queue_html"><div class="ttname"><a href="classgrppi_1_1mpmc__queue.html">grppi::mpmc_queue</a></div><div class="ttdef"><b>Definition:</b> mpmc_queue.h:38</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_a252f36bcbd533fe0e1568711e47a2a4d"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#a252f36bcbd533fe0e1568711e47a2a4d">grppi::parallel_execution_omp::map_reduce</a></div><div class="ttdeci">auto map_reduce(std::tuple&lt; InputIterators... &gt; firsts, std::size_t sequence_size, Identity &amp;&amp;identity, Transformer &amp;&amp;transform_op, Combiner &amp;&amp;combine_op) const </div><div class="ttdoc">Applies a map/reduce operation to a sequence of data items. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:662</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_abb9bc2c1ea905ca19f6b025e17fc8943"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#abb9bc2c1ea905ca19f6b025e17fc8943">grppi::parallel_execution_omp::get_output_queue</a></div><div class="ttdeci">mpmc_queue&lt; T &gt; get_output_queue(Transformers &amp;&amp;...) const </div><div class="ttdoc">Makes a communication queue for elements of type T if the queue has not been created in an outer patt...</div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:149</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_a37f6a3c52b01c8086cf7406daeb11a01"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#a37f6a3c52b01c8086cf7406daeb11a01">grppi::parallel_execution_omp::make_queue</a></div><div class="ttdeci">mpmc_queue&lt; T &gt; make_queue() const </div><div class="ttdoc">Makes a communication queue for elements of type T. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:124</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_a6ecc058267416424d85f5d97a50993f9"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#a6ecc058267416424d85f5d97a50993f9">grppi::parallel_execution_omp::set_concurrency_degree</a></div><div class="ttdeci">void set_concurrency_degree(int degree) noexcept</div><div class="ttdoc">Set number of grppi threads. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:82</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_ab2c33a5524390b20114c46c2801bfa06"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#ab2c33a5524390b20114c46c2801bfa06">grppi::parallel_execution_omp::get_output_queue</a></div><div class="ttdeci">mpmc_queue&lt; T &gt; &amp; get_output_queue(mpmc_queue&lt; T &gt; &amp;queue, Transformers &amp;&amp;...) const </div><div class="ttdoc">Returns the reference of a communication queue for elements of type T if the queue has been created i...</div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:137</div></div>
<div class="ttc" id="namespacegrppi_html_aa0514650a765d4853343655e7588662ba14343966a1d7dce7526e57cf2206d19d"><div class="ttname"><a href="namespacegrppi.html#aa0514650a765d4853343655e7588662ba14343966a1d7dce7526e57cf2206d19d">grppi::queue_mode::blocking</a></div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_a858b1ade4e83c03af95148622791719c"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#a858b1ade4e83c03af95148622791719c">grppi::parallel_execution_omp::enable_ordering</a></div><div class="ttdeci">void enable_ordering() noexcept</div><div class="ttdoc">Enable ordering. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:97</div></div>
<div class="ttc" id="namespacegrppi_html_a5ee9bff9a2abf2d4212368695aa90513"><div class="ttname"><a href="namespacegrppi.html#a5ee9bff9a2abf2d4212368695aa90513">grppi::supports_stencil&lt; parallel_execution_omp &gt;</a></div><div class="ttdeci">constexpr bool supports_stencil&lt; parallel_execution_omp &gt;()</div><div class="ttdoc">Determines if an execution policy supports the stencil pattern. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:586</div></div>
<div class="ttc" id="namespacegrppi_html_aedf558dcb7098c68eb91a24ff8724303"><div class="ttname"><a href="namespacegrppi.html#aedf558dcb7098c68eb91a24ff8724303">grppi::supports_map_reduce&lt; parallel_execution_omp &gt;</a></div><div class="ttdeci">constexpr bool supports_map_reduce&lt; parallel_execution_omp &gt;()</div><div class="ttdoc">Determines if an execution policy supports the map-reduce pattern. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:579</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html">grppi::parallel_execution_omp</a></div><div class="ttdoc">OpenMP parallel execution policy. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:45</div></div>
<div class="ttc" id="namespacegrppi_html_aefc4ab6149586d62bcb16b97bcefdd0a"><div class="ttname"><a href="namespacegrppi.html#aefc4ab6149586d62bcb16b97bcefdd0a">grppi::requires_no_pattern</a></div><div class="ttdeci">std::enable_if_t&lt; is_no_pattern&lt; T &gt;, int &gt; requires_no_pattern</div><div class="ttdef"><b>Definition:</b> patterns.h:92</div></div>
<div class="ttc" id="namespacegrppi_html_a1c6e71cb617cee8d3216b1710891a349"><div class="ttname"><a href="namespacegrppi.html#a1c6e71cb617cee8d3216b1710891a349">grppi::requires_pipeline</a></div><div class="ttdeci">typename std::enable_if_t&lt; is_pipeline&lt; T &gt;, int &gt; requires_pipeline</div><div class="ttdef"><b>Definition:</b> pipeline_pattern.h:111</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_a303ca62fb4c61ea2c41cbacf1fddc0a8"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#a303ca62fb4c61ea2c41cbacf1fddc0a8">grppi::parallel_execution_omp::reduce</a></div><div class="ttdeci">auto reduce(InputIterator first, std::size_t sequence_size, Identity &amp;&amp;identity, Combiner &amp;&amp;combine_op) const </div><div class="ttdoc">Applies a reduction to a sequence of data items. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:616</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_a9cd143a37f54ca39e2d06d8f0fa8d1e3"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#a9cd143a37f54ca39e2d06d8f0fa8d1e3">grppi::parallel_execution_omp::pipeline</a></div><div class="ttdeci">void pipeline(mpmc_queue&lt; InputType &gt; &amp;input_queue, Transformer &amp;&amp;transform_op, mpmc_queue&lt; OutputType &gt; &amp;output_queue) const </div><div class="ttdoc">Invoke Pipeline pattern comming from another context that uses mpmc_queues as communication channels...</div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:308</div></div>
<div class="ttc" id="structgrppi_1_1stage__return__type_html_a6b47b45a7d7664ac97fee040c220eea2"><div class="ttname"><a href="structgrppi_1_1stage__return__type.html#a6b47b45a7d7664ac97fee040c220eea2">grppi::stage_return_type::type</a></div><div class="ttdeci">return_type type</div><div class="ttdef"><b>Definition:</b> patterns.h:103</div></div>
<div class="ttc" id="namespacegrppi_html_a14435182a5c6532b429e9e8f09e2da37"><div class="ttname"><a href="namespacegrppi.html#a14435182a5c6532b429e9e8f09e2da37">grppi::requires_filter</a></div><div class="ttdeci">typename std::enable_if_t&lt; is_filter&lt; T &gt;, int &gt; requires_filter</div><div class="ttdef"><b>Definition:</b> filter_pattern.h:70</div></div>
<div class="ttc" id="classgrppi_1_1sequential__execution_html"><div class="ttname"><a href="classgrppi_1_1sequential__execution.html">grppi::sequential_execution</a></div><div class="ttdoc">Sequential execution policy. </div><div class="ttdef"><b>Definition:</b> sequential_execution.h:41</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_ac46ceef1db7f46cc7c93a2e1f4a43f08"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#ac46ceef1db7f46cc7c93a2e1f4a43f08">grppi::parallel_execution_omp::concurrency_degree</a></div><div class="ttdeci">int concurrency_degree() const noexcept</div><div class="ttdoc">Get number of grppi trheads. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:90</div></div>
<div class="ttc" id="namespacegrppi_html_a2527c1d272fe48e7c19fbd7b7509caea"><div class="ttname"><a href="namespacegrppi.html#a2527c1d272fe48e7c19fbd7b7509caea">grppi::supports_pipeline&lt; parallel_execution_omp &gt;</a></div><div class="ttdeci">constexpr bool supports_pipeline&lt; parallel_execution_omp &gt;()</div><div class="ttdoc">Determines if an execution policy supports the pipeline pattern. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:600</div></div>
<div class="ttc" id="classgrppi_1_1sequential__execution_html_a5b2e9b3427ba153715b527e795a296aa"><div class="ttname"><a href="classgrppi_1_1sequential__execution.html#a5b2e9b3427ba153715b527e795a296aa">grppi::sequential_execution::divide_conquer</a></div><div class="ttdeci">auto divide_conquer(Input &amp;&amp;input, Divider &amp;&amp;divide_op, Solver &amp;&amp;solve_op, Combiner &amp;&amp;combine_op) const </div><div class="ttdoc">Invoke Divide/conquer pattern. </div><div class="ttdef"><b>Definition:</b> sequential_execution.h:543</div></div>
<div class="ttc" id="namespacegrppi_html_a64dd705d0f32b64d20dba8d5b9cebbbe"><div class="ttname"><a href="namespacegrppi.html#a64dd705d0f32b64d20dba8d5b9cebbbe">grppi::result_type</a></div><div class="ttdeci">typename std::result_of&lt; Transformer(Input)&gt;::type result_type</div><div class="ttdoc">Determines the return type of appliying a function on a input type. </div><div class="ttdef"><b>Definition:</b> patterns.h:110</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_afdf64586e1ec6dbff9787d67ca600f4e"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#afdf64586e1ec6dbff9787d67ca600f4e">grppi::parallel_execution_omp::stencil</a></div><div class="ttdeci">void stencil(std::tuple&lt; InputIterators... &gt; firsts, OutputIterator first_out, std::size_t sequence_size, StencilTransformer &amp;&amp;transform_op, Neighbourhood &amp;&amp;neighbour_op) const </div><div class="ttdoc">Applies a stencil to multiple sequences leaving the result in another sequence. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:714</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_a1985bff1de82cf901697e234dd4a1972"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#a1985bff1de82cf901697e234dd4a1972">grppi::parallel_execution_omp::set_queue_attributes</a></div><div class="ttdeci">void set_queue_attributes(int size, queue_mode mode) noexcept</div><div class="ttdoc">Sets the attributes for the queues built through make_queue&lt;T&gt;(() </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:112</div></div>
<div class="ttc" id="namespacegrppi_html_ab14686b24bda97340325424c0808f8e5"><div class="ttname"><a href="namespacegrppi.html#ab14686b24bda97340325424c0808f8e5">grppi::supports_reduce&lt; parallel_execution_omp &gt;</a></div><div class="ttdeci">constexpr bool supports_reduce&lt; parallel_execution_omp &gt;()</div><div class="ttdoc">Determines if an execution policy supports the reduce pattern. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:572</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_acf76cfdab738202cba7d568662f597a0"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#acf76cfdab738202cba7d568662f597a0">grppi::parallel_execution_omp::map</a></div><div class="ttdeci">void map(std::tuple&lt; InputIterators... &gt; firsts, OutputIterator first_out, std::size_t sequence_size, Transformer transform_op) const </div><div class="ttdoc">Applies a trasnformation to multiple sequences leaving the result in another sequence using available...</div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:604</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_a6a2bacd11b04b35825a1cb1360077b6c"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#a6a2bacd11b04b35825a1cb1360077b6c">grppi::parallel_execution_omp::pipeline</a></div><div class="ttdeci">void pipeline(Generator &amp;&amp;generate_op, Transformers &amp;&amp;...transform_op) const </div><div class="ttdoc">Invoke Pipeline pattern. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:786</div></div>
<div class="ttc" id="namespacegrppi_html_ad4b58959f8008485515060fe1a37fb21"><div class="ttname"><a href="namespacegrppi.html#ad4b58959f8008485515060fe1a37fb21">grppi::requires_context</a></div><div class="ttdeci">typename std::enable_if_t&lt; is_context&lt; T &gt;, int &gt; requires_context</div><div class="ttdef"><b>Definition:</b> common/context.h:95</div></div>
<div class="ttc" id="classgrppi_1_1mpmc__queue_html_aa18eda40dec95f4c568f5f40775e8e19"><div class="ttname"><a href="classgrppi_1_1mpmc__queue.html#aa18eda40dec95f4c568f5f40775e8e19">grppi::mpmc_queue::push</a></div><div class="ttdeci">bool push(T item)</div><div class="ttdef"><b>Definition:</b> mpmc_queue.h:128</div></div>
<div class="ttc" id="namespacegrppi_html_a43af869a5c133642518967b6284525af"><div class="ttname"><a href="namespacegrppi.html#a43af869a5c133642518967b6284525af">grppi::requires_farm</a></div><div class="ttdeci">typename std::enable_if_t&lt; is_farm&lt; T &gt;, int &gt; requires_farm</div><div class="ttdef"><b>Definition:</b> farm_pattern.h:89</div></div>
<div class="ttc" id="namespacegrppi_html_acab52f9fd1dc880a72d484e0b1d25fc0"><div class="ttname"><a href="namespacegrppi.html#acab52f9fd1dc880a72d484e0b1d25fc0">grppi::supports_divide_conquer&lt; parallel_execution_omp &gt;</a></div><div class="ttdeci">constexpr bool supports_divide_conquer&lt; parallel_execution_omp &gt;()</div><div class="ttdoc">Determines if an execution policy supports the divide/conquer pattern. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:593</div></div>
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